A Portable Tool for Deaf and Hearing Impaired People

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "A Portable Tool for Deaf and Hearing Impaired People"

Transcription

1 A Portable Tool for Deaf and Hearing Impaired People R. A. D. K. Rupasinghe, D. C. R. Ailapperuma, P.M.B.N.E. De Silva and A. K. G. Siriwardana, B.H. Sudantha Faculty of Information Technology University of Moratuwa Katubedda, Sri Lanka Abstract A portable system for deaf and hearing impaired people has been developed based on the IEEE 1451 sensor standards and other related technologies to minimize their communication difficulties with the ordinary society. The system is comprised of two main modules. One of the modules is performing gesture recognition capturing Sinhala sign language symbols from a deaf or hearing impaired person using a specially developed smart glove which is embedded with a 3-D accelerometer, a digital gyroscope and flex sensors complying with the IEEE Smart Sensor Standards. The smart glove is capable of capturing finger movements and hand movements. Arduino Mega controller system, containing Atmel ATmega2560 AVR microcontroller, was used to implement the Smart Transducer Interface Module (STIM). The captured signals were analyzed and related text and voice would be generated. The other module is processing human voice real-time using Sphinix- 4 framework and generated corresponding text and displaying Sinhala sign language animations on an external display using an animated avatar. Generating animations was done by using Blender and JMonkey game engine. Index Terms deaf and hearing impaired, IEEE 1451, Sinhala sign language, smart data glove, 3-D accelerometer, digital gyroscope, flex sensors, embedded systems, STIM, smart sensors, blender, JMonkey I. INTRODUCTION On the Earth, people are equally treated and it is their right to receive equal status without any discrimination [1]. Notwithstanding ordinary people in the World, all deaf and hearing impaired persons also need to communicate with other people and they also have right to be treated equally [2, 3]. Many people today use current technologies to make their lives easier. Disabled people are not an exception to this reality. Over 5% of the World s population, nearly 360 million people, has some kind of hearing loss [4]. Many of them are living in middle and low income countries and they are at the very least understanding of their special needs and requirements [4]. They need today s technology to help them cope with their lives on a daily basis. Deaf or hearingimpaired people sometimes find it hard to communicate with the ordinary people and they do not aware sounds from their surroundings especially when they are travelling. Having a portable device that makes them aware of their surroundings and facilitate ability to communicate with the society are the main goals that proposed system planned to achieve. Proposed system has two main sub systems named Gesture (sign language) recognition system and Voice processing system. With the use of gesture recognition system we are enabling the person to talk by processing the hand gestures (sign language) of the deaf person and speak out the content. With the voice processing system we are enabling the hearing impaired person to see or feel the voices around him by converting voice to Sinhala sign language. II. PROBLEM IN BRIEF Hearing impairment, hearing loss, or deafness, is a partial or total inability to hear. It is one of the most common medical conditions presenting to physicians. Disabling hearing loss is claimed that hearing loss greater than 40dB in adults and hearing loss greater than 30dB in children [4]. Adult-onset hearing loss ranks 15th amongst the leading causes of the Global Burden of Disease (GBD [5].It is caused by many different factors, including, but not limited to, aging, exposure to noise, illness, or chemicals and physical trauma or any combination of these. Communication with people is a basic need for everyone, but deaf and hearing impaired people are not able to communicate well due to some disabilities and communication is the main problem among them. Deaf people communicate visually and physically rather than audibly. Therefore, they have some problems in their relationship with people. The sign languages are the languages used by communities of deaf people all over the world. Sign languages are not derived from spoken languages; they have their own independent vocabularies and their own grammatical structures. Sign languages exhibit the full range of expression that spoken languages afford their users [6]. Usually, deaf people use sign-language to communicate with each other, but people have no desire to learn sign-language. For this reason, many people feel awkward or become frustrated trying to communicate with deaf people, especially when no interpreter is available.

2 There exist a lot of services running into the voice platforms which are not accessed by deaf and hearing impaired people. Because of this, there are important communication barriers between a deaf person and society. The system we are proposing to develop has been address the above issue of communication problem among deaf and hearing impaired people with the society, also will be an innovative solution in the interaction between people and machine area for deaf and hearing impaired people. III. RELATED WORK There are many similar approaches taken to address the above mentioned issues using vivid technologies and methodologies. In the recent past, there has been many research works on the hand sign recognition. The technology of gesture recognition can be divided into two categories. Glove Based Techniques Vision Based Techniques The Sound of Signing, Magic Gloves and Hand Sign Interpreter [7, 8, 9] are some example researches under glove based techniques. The sound of signing is a sign language translator which uses a glove fitted with sensors that can interpret the 26 English letters in American Sign Language (ASL). The glove is composed with flex sensors, contact sensors, and accelerometers in three dimensions to gather data on each finger s position and the hand s motion to differentiate the letters. The is transferred to the base station, which displays as well as speaks the letter and also interfaces with a computer. In Magic Gloves Wireless data gloves with flex sensors are used to identify the gestures. The resulting digital signals from flex sensors are encoded and transmitted through radio frequency system. Radio frequency receivers receive the signal and fed to the gesture recognition section through the decoder. Then the gesture is recognized and the corresponding text information is identified. Text to speech conversion takes place in the voice section and play out through the speaker. Hand Sign Interpreter is a prototype which can store 10 different signals of as per the user s hand sign. Three of them are totally based on the output of the accelerometer and seven of them are based on the output of flex sensors. The processor analyses the signal from sensor glove and fetches the corresponding audio signal from the memory IC which is fed to the amplifier. The speaker generates the relevant sound. In vision based methods, camera is the input device for observing the information of hands or fingers. icommunicator, Microsoft Kinect Sign language translator and ASL Fingerspelling Translator Glove [10, 11, 12] are two examples for vision based methods. Microsoft Kinect Sign language translator aimed to realize fast and accurate 3D sign language recognition based on the depth and color images captured by Kinect. It also provides two way communications between deaf person and normal person. But it is developed only for Chinese sign language and it is not portable. icommunicater is a commercial software developed for windows platform. icommunicator translates in real-time speech/text to video sign-language and text to voice. The icommunicator provides American Sign Language (ASL) signs in English word order (subject+verb+object) to improve the relationship between spoken, written, and signed words, promoting better literacy levels than traditional ASL. TABLE I. COMPARISON BETWEEN SIMILAR APPROACHES Feature A B C D E Sign-to-voice 1 Voice-to-text 2 Text-to-sign 3 Voice-to-sign 4 5 Portable Recognize words in 6 sign A. Microsft Kinect SL Translater B. icommunicater C. Magic Gloves D. Hand Sign Interpreter E. The sound of Signing IV. OUR APPROACH To solve the above-discussed problem we came up with the solution of a portable tool where it integrates many features for deaf and hearing impaired people to make their communication with the normal society. Our system consists of two applications; 1. Gesture Recognition System 2. Voice Processing System Gesture recognition system converts Sinhala sign language symbols to voice. Capturing sign language signals is done by using a sensor glove. This glove is compromised a complex embedded system, that would capture the variations of the hand and fingers and the movements of the hand. That would help to capture most of different gestures of sign language without using cameras for detection. This is one of the most suitable ways of detecting gestures of sign language in a portable system. Voice processing system inputs human voice using microphone array. Finally system will output the animated avatar after the process of voice recognition and this will be displayed on an external display. Figure 1 illustrates top level architecture of the proposed solution. Figure 1. Top Level Architecture of the System

3 V. DESIGN OF THE SYSTEM The proposed system mainly consists of the following components; A. Gesture Recognition System B. Voice Processing System A. Gesture Recognition System Design of the gesture recognition system mainly consists of the main hardware module, the smart data glove. It consists of a 3-D accelerometer, a digital gyroscope and ten flex sensors and few limit switches. All the sensors are connected to the system complying with the IEEE 1451 smart sensor standards. The IEEE 1451-Standards for Smart Transducer Interface for Sensors and Actuators defines a set of common communication interfaces for connecting transducers to embedded systems and field networks in a networkindependent environment. The IEEE 1451 standard makes it easier for system designers and transducer manufacturers to develop various smart devices and to interface those devices to different networks, systems, and instruments. This standard consists of seven parts and each of them has different aspects of the interface standard [13, 14, 15, 16, 17, 18]. In this project the standard was used to implement the STIM with semiconductor gas sensors. The glove is designed to recognize the movement of the fingers and the palm, as well as the motion of the hand over a certain period of time. The data received from the glove is transmitted to a micro controller which will then process the inputs and send to the main processing unit. This processing unit identifies the received data and processes them so that it outputs the relevant voice signal corresponding to the hand gesture. Figure 2 shows that the signal flow of the gesture recognition system. Sensor Array Micro- Controller Tanslator and mapping system Finger Movement Data Hand Movement Data Figure 2. Process in Gesture Recognition System. B. Voice Processing System Process the data and create the outputpacket Process the data packets Translate Gestures into voice Voice processing system is the next component of this product. This will allow to convert human voice signal to an animated avatar which illustrates the hand gestures on the external display device. Human voice will be captured using a microphone and feed for processing using Sphinx Framework. Sphinx will recognize the utterance and result the corresponding word phrase. Then those will be manipulated in to a format which is compatible with the sign language. It outputs the recognized words and those will be filtered based on the available sign language representations. This filtered output is then feeded to Jmonkey game engine for avatar animation. This animation will be generated dynamically at the Jmonkey engine and displayed on the external display. Sphinx Framework provides a rich API to develop custom voice recognition applications and it better customer support. There are a wide range of implementations based on sphinx which are using in live environments. JMonkey Engine is a high performance scene graph based graphics API. JMonkey was built to fulfill the lack of full featured graphics engines written in Java [19]. VI. IMPLEMENTATION Implementation of the proposed solution according to each module varied according to different technologies used. A. Gesture Recognition System Glove is implemented using the flex sensors which will respond to the bending of the fingers [20, 21]. These flex sensors will change the resistance according to the angle of the finger and corresponding analog output voltages are fed to the microcontroller based system. Using the built in ADC unit 10 bit digital data is produced giving high accuracy to the finger movement capturing [22]. To capture the motion of the hand a Micro Electro Mechanical Systems (MEMS) sensor MPU 6050 which will sense the acceleration in X, Y, Z directions is used. Also the sensor consists of a tri-axis gyroscope which will provide gyroscopic data [23, 24, 25]. Finger position and movements of the hand are received by the micro controller and then sent as data packets to the main computer program which will classify the data and identify the patterns for predicting the meaning of the hand gestures. Here first the data received from the micro controller should be processed as time-series data. Each data set sent by the micro controller can be identified as a feature vector. Feature vector can be described as below Figure 3. pinky ring middle Index Thumb Thumb-index Index-middle ax ay az Figure 3. Feature Vector of the data set. First 5 readings are for five fingers, then the next two are for the readings from the sensors between the mentioned fingers, next the acceleration data and gyroscopic data respectively. As the readings from the flex sensors are stable they can be directly used in the feature vector, but for the accelerometer and gyroscopic data we have to use certain filters before identifying the patterns. Kalman filter and complementary filters are used in filtering the acceleration and gyroscopic data to get a noise reduced smooth curve for the required gx gy gz

4 gesture[26, 27, 28]. Kalman filter is mainly used in the signal processing area for reducing the noise of a signal. As the accelerometers are highly subjective to noise there s a lot of jitter that can occur during the motions which will provide unnecessary data for processing. For recognizing the alphabet using only the finger movements, a classifier is used. Here K-Nearest Neighbor (KNN) classifier can be easily implemented without any issues for this purpose. Once the system is trained with the training data, it can then be used to identify the gestures using the KNN classifier. But the issue is there when recognizing the characters like J, Z, P, and Q characters as they require motion and orientation of the hand. To capture this motion sensor readings should be used. Motion sensor readings and the finger position readings together can be used in the KNN classifier as time series collection of data to identify the characters signed by the hand. Once the characters are identified, then the identification of the words is required. Identifying the words should be done will be manipulated according to a format which is suitable for the sign language. Recognized words will be mapped to the relevant hand gesture using the avatar. This avatar is created and animated using Blender. Those animation parameters and the modeled character are exported as xml format which can be used for dynamic animation on the java platform. On the java application side we used JMonkey game engine for dynamic animations. It will map the corresponding animation to each word recognized by the trained system and animations displayed in external display. Fig. 5. Animated avatar to display sign language using the finger readings and motion sensor readings together. Once the words and characters are identified they should be processed in order to generate the sentences out of those words. For that we can feed this data into a Natural Language Processing tool and receive the output as a set of words. As natural language processing tool we used free test to speech java framework. Figure 4 shows an image of the developed smart glove. B. Voice Processing System Figure 4. Sensor glove This component mainly consists of voice to text and text to sign language mapping. Voice to text is done based on the sphinx framework. Sphinx receives the voice signals captured using a microphone. As sphinx is highly customizable, it can be trained for a custom language with a different accent. We collected a dataset which consist of more than one hour recording. We are focusing on a particular environment where the user of working on the road, we restricted the vocabulary to a set of words. The dataset collected included selected words from few people. Sphinx has its own configuration when we are training the system to recognize a custom language. At the same time we developed a custom language model which is suitable for the vocabulary we are going to train on. With all these requirements completed we trained the system several times until we get an accurate result using a testing dataset. Those words or sentences recognized VII. EVALUATION We tested our system in lab environment. Voice to text subsystem was trained using the sphinx framework. Training data set was collected for one and half hour of recorded voice wave 16 khz, 16 bit mono audio format and a testing dataset of 15 mins with same specs. Whole system was trained on a Linux operating system. Trained system was tested using the collected 15mins of dataset where is resulted a word recognizing error rate of 12%. Data glove was tested with the help of 10 users and following results were achieved. KNN classifier is used as the main classification method and the classifier is trained for all 26 characters with 200 training samples for each character. Classifier configurations consider 5 neighbors to make a decision and cross validation is used to improve the reliability. Each user trained each character 20 times by signing the symbol. Among the characters J, Z, P, Q required motion and orientation of the hand. Also the characters P and K, H and U, Q and G had resulted in certain ambiguous outputs. TABLE III ERROR RATE FOR EACH SYMBOL Symbol Error Rate A, B, D, E, F, G, H, I, L, R, S, 2% T, V, W, X, Y, Z C 3% J 15% K 5% M 4% N 4% O 2% P 10% Q 10% U 5% VIII. CONCLUSION There exist many communication barriers between deaf people and the society. Therefore we developed a portable tool

5 where it integrates many features for deaf and hearing impaired people to make their communication with the normal society. Proposed system has two main sub systems, Gesture (sign language) recognition system and Voice processing system. With the use of gesture recognition system we are enabling the person to talk by processing the hand gestures (Sinhala sign language) using a sensor glove and speak out the content. With the voice processing system we are enabling the hearing impaired person to see or feel the voices around him by converting voice to Sinhala sign language and display it using animated Avatar. Sign language is captured by using a specially designed sensor glove and recognized hand signals are converted in to voice in real time. Sensor glove is a complex embedded system with five flex sensors, an accelerometer and a gyroscope. Captured voice signals are converted in to sign language and displayed relevant sign language animations in real time on an external display using an animated avatar. Real time animation generation is done by using blender and JMonkey game engine. To improve the accuracy of the voice processing system the system it needs to use some more relevant dataset and the configuration parameters have to be optimized accordingly. The Table II shows a comparison between our approach and other approaches considering the similar features and distinct features of our proposed solution. TABLE II. COMPARISON BETWEEN OUR APPROACH AND OTHER APPROACHES. Feature Other approaches Portable /No Recognize words in sign Support for Sinhala Sign Language Sign-to-voice Voice-to-text /No No /No /No Our Approach Text-to-sign /No Voice-to-sign /No IX. FUTURE WORK In order to make this system more value added and user friendly we will add a feature to notify the direction of sound. User will be notify about direction and type of the sound. Also we will plan to test this system using deaf and hearing impaired students in Rathmalana Deaf School of Sri Lanla. REFERENCES [1] Human Rights Act, Fact Sheet No.2 (Rev.1), The International Bill of Human Rights, United Nations High Commission for Human Rights, Palais, Wilson 52, CH-1201, Geneva, Switzerland, [2] World Federation of the Deaf, Human Rights for Deaf People, World Federation of the Deaf (WFD), Light House, Likantie 4, Helsinki, Finland, last update [3] Organizational Publication, The Human Rights Act, Action on Hearing Loss, 19-23, Featherstone Street, London, [4] WHO, Deafness and hearing loss, World Health Organization, Avenue Appia 20, 121, Geneva 27, Switzerland, February [5] WHO, Facts about deafness, World Health Organization, Avenue Appia 20, 121, Geneva 27, Switzerland, September [6] Wendy Sandler and Diane Lillo-Martin, Natural Sign Languages, in Handbook of Linguistics, M. Aronoff & J. Rees- Miller (eds.), 2001, pp [7] Ranjay Krishna, Seonwoo Lee, Si Ping Wang and Jonathan Lang Sign Language Translator - The Sound of Signing" Internet:http://people.ece.cornell.edu/land/courses/ece4760/Final Projects/s2012/sl787_rak248_sw525_fl229/sl787_rak248_sw525 _fl229/ Last Accessed - [Sep ]. [8] Shoaib Ahmed "MAGIC GLOVES - Hand Gesture Recognition and Voice Conversion System for Differentially Able Dumb People", presented at Tech Expo-The Global Summit, London, United Kingdom, Dec [9] Ajinkya Raut, Vineeta Singh, Vikrant Rajput, Ruchika Mahale. "HAND SIGN INTERPRETER" The International Journal of Engineering And Science (IJES), Vol. 1, pp , [10] icommunicater Information Sheet [11] Xilin Chen, Hanjing Li, Tim Pan, Stewart Tansley, Ming Zhou. "Kinect Sign Language Translator expands communication possibilities" Microsoft Research. [12] Jamal Haydar, Bayan Dalal, Shahed Hussainy, Lina El Khansa and Walid Fahs, "ASL Fingerspelling Translator Glove," IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 6, No 1, Nov [13] IEEE, IEEE Std , IEEE Standard for a Smart Transducer Interface for Sensors and Actuators Transducer to Microprocessor Communication Protocols and Transducer Electronic Data Sheet (TEDS) Formats, The Institute of Electrical and Electronics Engineers, Inc., New York, USA, [14] Kularatna N., Sensors, Modern Component Families and Circuit Block Design, Butterworth- Heinemann, Woburn, USA, 2000, pp [15] B.H. Sudantha, N. Kularathna, "An environmental air pollution monitoring system based on the IEEE 1451 standard for low cost requirements". IEEE Sensors Journal, Vol.8, No.4 April [16] Richard L. Fischer, Jeff Burch, the PICmicro MCU as an IEEE Compatible Smart Transducer Interface Module (STIM), Application Note. AN214, Microchip Technology Inc., USA, [17] Kang B. Lee, Richard D. Schneeman, A Standardized Approach for Transducer Interfacing: Implementing IEEE-P1451 Smart Transducer Interface Draft Standards, Proceedings of Sensors Expo, Philadelphia, USA, October 1996, pp [18] Analog Devices, The ADuC812 MicroConverter as an IEEE Compatible Smart Transducer Interface, MicroConverter Technical Note uc003 The ADuC812 as an IEEE STIM, Analog Devices, Inc., Norwood, USA, Sept

6 [19] Deepak Modi, Ajay Jaiswal, Mayank Gupta, Mayank Mandloi, Mohit Mehta, Dhairya Mukheja. 3D Game Engines as a New Reality International Journal of Research Studies in Science, Engineering and Technology [IJRSSET], Vol. 1, Issue 4, July 2014, PP [20] spectrasymbol, "Flex Sensor" 4.5 datasheet. [21] Giovanni Saggio, "Electrical Resistance Profiling of Bend Sensors adopted to Measure Spatial Arrangement of the Human Body," Dept. of Electronic Engineering, University of Tor Vergata, Rome, Italy. [22] Atmel Coperation, "datasheet - Atmel ATmega640/V- 1280/V-1281/V-2560/V-2561/", Atmel Coperation, 1600 Technology Drive, San Jose, California, 95110, USA, [23] InvenSense Inc, "MPU-6000 and MPU-6050 Product Specification" MPU-6000/MPU-6050 data sheet, May [24] Sam Naghshineh, Golafsoun Ameri, Mazdak Zereshki, Dr. S. Krishnan, and Dr. M. Abdoli-Eramaki, "Human Motion capture using Tri-Axial accelerometers" [25] Shay Reuveny and Maayan Zadik, "3D Motion tracking with Gyroscope and Accelerometer," Final Project [26] Piyush Kumar, Jyoti Verma and Shitala Prasad, "Hand Data Glove: A Wearable Real-Time Device for HumanComputer Interaction," International Journal of Advanced Science and Technology, Vol. 43, June, [27] Greg Welch and Gary Bishop, "An Introduction to the Kalman Filter," TR , Department of Computer Science, University of North Carolina, Chapel Hill, NC , July [28] Paul C. Glasser, "An Introduction to the Use of Complementary Filters for Fusion of Sensor Data" Research Paper.

Glove for Gesture Recognition using Flex Sensor

Glove for Gesture Recognition using Flex Sensor Glove for Gesture Recognition using Flex Sensor Mandar Tawde 1, Hariom Singh 2, Shoeb Shaikh 3 1,2,3 Computer Engineering, Universal College of Engineering, Kaman Survey Number 146, Chinchoti Anjur Phata

More information

Development of an Electronic Glove with Voice Output for Finger Posture Recognition

Development of an Electronic Glove with Voice Output for Finger Posture Recognition Development of an Electronic Glove with Voice Output for Finger Posture Recognition F. Wong*, E. H. Loh, P. Y. Lim, R. R. Porle, R. Chin, K. Teo and K. A. Mohamad Faculty of Engineering, Universiti Malaysia

More information

Real Time Sign Language Processing System

Real Time Sign Language Processing System Real Time Sign Language Processing System Dibyabiva Seth (&), Anindita Ghosh, Ariruna Dasgupta, and Asoke Nath Department of Computer Science, St. Xavier s College (Autonomous), Kolkata, India meetdseth@gmail.com,

More information

Interact-AS. Use handwriting, typing and/or speech input. The most recently spoken phrase is shown in the top box

Interact-AS. Use handwriting, typing and/or speech input. The most recently spoken phrase is shown in the top box Interact-AS One of the Many Communications Products from Auditory Sciences Use handwriting, typing and/or speech input The most recently spoken phrase is shown in the top box Use the Control Box to Turn

More information

Recognition of sign language gestures using neural networks

Recognition of sign language gestures using neural networks Recognition of sign language gestures using neural s Peter Vamplew Department of Computer Science, University of Tasmania GPO Box 252C, Hobart, Tasmania 7001, Australia vamplew@cs.utas.edu.au ABSTRACT

More information

An Ingenious accelerator card System for the Visually Lessen

An Ingenious accelerator card System for the Visually Lessen An Ingenious accelerator card System for the Visually Lessen T. Naveena 1, S. Revathi 2, Assistant Professor 1,2, Department of Computer Science and Engineering 1,2, M. Arun Karthick 3, N. Mohammed Yaseen

More information

Assistive Technology for Regular Curriculum for Hearing Impaired

Assistive Technology for Regular Curriculum for Hearing Impaired Assistive Technology for Regular Curriculum for Hearing Impaired Assistive Listening Devices Assistive listening devices can be utilized by individuals or large groups of people and can typically be accessed

More information

The Sign2 Project Digital Translation of American Sign- Language to Audio and Text

The Sign2 Project Digital Translation of American Sign- Language to Audio and Text The Sign2 Project Digital Translation of American Sign- Language to Audio and Text Fitzroy Lawrence, Jr. Advisor: Dr. Chance Glenn, The Center for Advanced Technology Development Rochester Institute of

More information

Sign Language Coach. Pupul Mayank Department of Telecommunication Engineering BMS College of Engg, Bangalore, Karnataka, India

Sign Language Coach. Pupul Mayank Department of Telecommunication Engineering BMS College of Engg, Bangalore, Karnataka, India Sign Language Coach M.Vasantha lakshmi Assistant Professor, Department of Telecommunication Engineering Pupul Mayank Department of Telecommunication Engineering Nadir Ahmed Department of Telecommunication

More information

Hand Gesture Recognition In Real Time Using IR Sensor

Hand Gesture Recognition In Real Time Using IR Sensor Volume 114 No. 7 2017, 111-121 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu Hand Gesture Recognition In Real Time Using IR Sensor Rohith H R 1,

More information

GLOVES BASED HAND GESTURE RECOGNITION USING INDIAN SIGN LANGUAGE

GLOVES BASED HAND GESTURE RECOGNITION USING INDIAN SIGN LANGUAGE GLOVES BASED HAND GESTURE RECOGNITION USING INDIAN SIGN LANGUAGE V. K. Bairagi 1 International Journal of Latest Trends in Engineering and Technology Vol.(8)Issue(4-1), pp.131-137 DOI: http://dx.doi.org/10.21172/1.841.23

More information

A Communication tool, Mobile Application Arabic & American Sign Languages (ARSL) Sign Language (ASL) as part of Teaching and Learning

A Communication tool, Mobile Application Arabic & American Sign Languages (ARSL) Sign Language (ASL) as part of Teaching and Learning A Communication tool, Mobile Application Arabic & American Sign Languages (ARSL) Sign Language (ASL) as part of Teaching and Learning Fatima Al Dhaen Ahlia University Information Technology Dep. P.O. Box

More information

Avaya IP Office R9.1 Avaya one-x Portal Call Assistant Voluntary Product Accessibility Template (VPAT)

Avaya IP Office R9.1 Avaya one-x Portal Call Assistant Voluntary Product Accessibility Template (VPAT) Avaya IP Office R9.1 Avaya one-x Portal Call Assistant Voluntary Product Accessibility Template (VPAT) Avaya IP Office Avaya one-x Portal Call Assistant is an application residing on the user s PC that

More information

Building an Application for Learning the Finger Alphabet of Swiss German Sign Language through Use of the Kinect

Building an Application for Learning the Finger Alphabet of Swiss German Sign Language through Use of the Kinect Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2014 Building an Application for Learning the Finger Alphabet of Swiss German

More information

Computer Applications: An International Journal (CAIJ), Vol.3, No.1, February Mohammad Taye, Mohammad Abu Shanab, Moyad Rayyan and Husam Younis

Computer Applications: An International Journal (CAIJ), Vol.3, No.1, February Mohammad Taye, Mohammad Abu Shanab, Moyad Rayyan and Husam Younis ANYONE CAN TALK TOOL Mohammad Taye, Mohammad Abu Shanab, Moyad Rayyan and Husam Younis Software Engineering Department Information Technology Faculty Philadelphia University ABSTRACT People who have problems

More information

Date: April 19, 2017 Name of Product: Cisco Spark Board Contact for more information:

Date: April 19, 2017 Name of Product: Cisco Spark Board Contact for more information: Date: April 19, 2017 Name of Product: Cisco Spark Board Contact for more information: accessibility@cisco.com Summary Table - Voluntary Product Accessibility Template Criteria Supporting Features Remarks

More information

Multimedia courses generator for hearing impaired

Multimedia courses generator for hearing impaired Multimedia courses generator for hearing impaired Oussama El Ghoul and Mohamed Jemni Research Laboratory of Technologies of Information and Communication UTIC Ecole Supérieure des Sciences et Techniques

More information

Using Deep Convolutional Networks for Gesture Recognition in American Sign Language

Using Deep Convolutional Networks for Gesture Recognition in American Sign Language Using Deep Convolutional Networks for Gesture Recognition in American Sign Language Abstract In the realm of multimodal communication, sign language is, and continues to be, one of the most understudied

More information

Microcontroller and Sensors Based Gesture Vocalizer

Microcontroller and Sensors Based Gesture Vocalizer Microcontroller and Sensors Based Gesture Vocalizer ATA-UR-REHMAN SALMAN AFGHANI MUHAMMAD AKMAL RAHEEL YOUSAF Electrical Engineering Lecturer Rachna College of Engg. and tech. Gujranwala Computer Engineering

More information

icommunicator, Leading Speech-to-Text-To-Sign Language Software System, Announces Version 5.0

icommunicator, Leading Speech-to-Text-To-Sign Language Software System, Announces Version 5.0 For Immediate Release: William G. Daddi Daddi Brand Communications (P) 212-404-6619 (M) 917-620-3717 Bill@daddibrand.com icommunicator, Leading Speech-to-Text-To-Sign Language Software System, Announces

More information

Voluntary Product Accessibility Template (VPAT)

Voluntary Product Accessibility Template (VPAT) Voluntary Product Accessibility Template (VPAT) Date: January 25 th, 2016 Name of Product: Mitel 6730i, 6731i, 6735i, 6737i, 6739i, 6753i, 6755i, 6757i, 6863i, 6865i, 6867i, 6869i, 6873i Contact for more

More information

DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation

DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation Biyi Fang Michigan State University ACM SenSys 17 Nov 6 th, 2017 Biyi Fang (MSU) Jillian Co (MSU) Mi Zhang

More information

Communications Accessibility with Avaya IP Office

Communications Accessibility with Avaya IP Office Accessibility with Avaya IP Office Voluntary Product Accessibility Template (VPAT) 1194.23, Telecommunications Products Avaya IP Office is an all-in-one solution specially designed to meet the communications

More information

Finger spelling recognition using distinctive features of hand shape

Finger spelling recognition using distinctive features of hand shape Finger spelling recognition using distinctive features of hand shape Y Tabata 1 and T Kuroda 2 1 Faculty of Medical Science, Kyoto College of Medical Science, 1-3 Imakita Oyama-higashi, Sonobe, Nantan,

More information

Intelligent Frozen Shoulder Self-Home Rehabilitation Monitoring System

Intelligent Frozen Shoulder Self-Home Rehabilitation Monitoring System Intelligent Frozen Shoulder Self-Home Rehabilitation Monitoring System Jiann-I Pan* 1, Hui-Wen Chung 1, and Jen-Ju Huang 2 1 Department of Medical Informatics, Tzu-Chi University, Hua-Lien, Taiwan 2 Rehabilitation

More information

Implementation of image processing approach to translation of ASL finger-spelling to digital text

Implementation of image processing approach to translation of ASL finger-spelling to digital text Rochester Institute of Technology RIT Scholar Works Articles 2006 Implementation of image processing approach to translation of ASL finger-spelling to digital text Divya Mandloi Kanthi Sarella Chance Glenn

More information

Accessibility Standards Mitel MiVoice 8528 and 8568 Digital Business Telephones

Accessibility Standards Mitel MiVoice 8528 and 8568 Digital Business Telephones Accessibility Standards Mitel products are designed with the highest standards of accessibility. Below is a table that outlines how Mitel MiVoice 8528 and 8568 digital business telephones conform to section

More information

Hand-Gesture Recognition System For Dumb And Paraplegics

Hand-Gesture Recognition System For Dumb And Paraplegics Hand-Gesture Recognition System For Dumb And Paraplegics B.Yuva Srinivas Raja #1, G.Vimala Kumari *2, K.Susmitha #3, CH.V.N.S Akhil #4, A. Sanhita #5 # Student of Electronics and Communication Department,

More information

Characterization of 3D Gestural Data on Sign Language by Extraction of Joint Kinematics

Characterization of 3D Gestural Data on Sign Language by Extraction of Joint Kinematics Human Journals Research Article October 2017 Vol.:7, Issue:4 All rights are reserved by Newman Lau Characterization of 3D Gestural Data on Sign Language by Extraction of Joint Kinematics Keywords: hand

More information

Communication services for deaf and hard of hearing people

Communication services for deaf and hard of hearing people Communication services for deaf and hard of hearing people 2 3 About this leaflet This leaflet is written for deaf, deafened and hard of hearing people who want to find out about communication services.

More information

Mechanicsburg, Ohio. Policy: Ensuring Effective Communication for Individuals with Disabilities Policy Section: Inmate Supervision and Care

Mechanicsburg, Ohio. Policy: Ensuring Effective Communication for Individuals with Disabilities Policy Section: Inmate Supervision and Care Tri-County Regional Jail Policy & Procedure Policy: Ensuring Effective Communication for Individuals with Disabilities Policy Section: Inmate Supervision and Care Tri-County Regional Jail Mechanicsburg,

More information

Making Sure People with Communication Disabilities Get the Message

Making Sure People with Communication Disabilities Get the Message Emergency Planning and Response for People with Disabilities Making Sure People with Communication Disabilities Get the Message A Checklist for Emergency Public Information Officers This document is part

More information

Universal Usability. Ethical, good business, the law SWEN-444

Universal Usability. Ethical, good business, the law SWEN-444 Universal Usability Ethical, good business, the law SWEN-444 Topics Universal usability and software ethics Visually impaired Deaf and hard of hearing Dexterity and mobility impairments Section 508 the

More information

Avaya Model 9611G H.323 Deskphone

Avaya Model 9611G H.323 Deskphone Avaya Model 9611G H.323 Deskphone Voluntary Product Accessibility Template (VPAT) The statements in this document apply to Avaya Model 9611G Deskphones only when they are configured with Avaya one-x Deskphone

More information

SPEECH TO TEXT CONVERTER USING GAUSSIAN MIXTURE MODEL(GMM)

SPEECH TO TEXT CONVERTER USING GAUSSIAN MIXTURE MODEL(GMM) SPEECH TO TEXT CONVERTER USING GAUSSIAN MIXTURE MODEL(GMM) Virendra Chauhan 1, Shobhana Dwivedi 2, Pooja Karale 3, Prof. S.M. Potdar 4 1,2,3B.E. Student 4 Assitant Professor 1,2,3,4Department of Electronics

More information

Before the Department of Transportation, Office of the Secretary Washington, D.C

Before the Department of Transportation, Office of the Secretary Washington, D.C Before the Department of Transportation, Office of the Secretary Washington, D.C. 20554 ) In the Matter of ) Accommodations for Individuals Who Are ) OST Docket No. 2006-23999 Deaf, Hard of Hearing, or

More information

INTERACTIVE GAMES USING KINECT 3D SENSOR TECHNOLOGY FOR AUTISTIC CHILDREN THERAPY By Azrulhizam Shapi i Universiti Kebangsaan Malaysia

INTERACTIVE GAMES USING KINECT 3D SENSOR TECHNOLOGY FOR AUTISTIC CHILDREN THERAPY By Azrulhizam Shapi i Universiti Kebangsaan Malaysia INTERACTIVE GAMES USING KINECT 3D SENSOR TECHNOLOGY FOR AUTISTIC CHILDREN THERAPY By Azrulhizam Shapi i Universiti Kebangsaan Malaysia INTRODUCTION Autism occurs throughout the world regardless of race,

More information

Prosody Rule for Time Structure of Finger Braille

Prosody Rule for Time Structure of Finger Braille Prosody Rule for Time Structure of Finger Braille Manabi Miyagi 1-33 Yayoi-cho, Inage-ku, +81-43-251-1111 (ext. 3307) miyagi@graduate.chiba-u.jp Yasuo Horiuchi 1-33 Yayoi-cho, Inage-ku +81-43-290-3300

More information

Assistive Wearable Technology

Assistive Wearable Technology Assistive Wearable Technology Stephan Koster skoster@student.ethz.ch 21.05.2013 Distributed Systems Seminar 1 Assistive Wearable Technology: Principles Measure Sensors Deduce Activity/Environment Walking?

More information

EFFECTIVE COMMUNICATION IN MEDICAL SETTINGS

EFFECTIVE COMMUNICATION IN MEDICAL SETTINGS EFFECTIVE COMMUNICATION IN MEDICAL SETTINGS HEALTH CARE PROVIDERS MUST ENSURE EFFECTIVE COMMUNICATION WITH PATIENTS AND THEIR COMPANIONS Begin ADA, Section 504 and Section 1557 REQUIREMENTS The Americans

More information

Gesture Recognition by using Flex Sensor for Patient Monitoring

Gesture Recognition by using Flex Sensor for Patient Monitoring IJIRST International Journal for Innovative Research in Science & Technology Volume 2 Issue 08 January 2016 ISSN (online): 2349-6010 Gesture Recognition by using Flex Sensor for Patient Monitoring Tejaswini

More information

Apple emac. Standards Subpart Software applications and operating systems. Subpart B -- Technical Standards

Apple emac. Standards Subpart Software applications and operating systems. Subpart B -- Technical Standards Apple emac Standards Subpart 1194.21 Software applications and operating systems. 1194.22 Web-based intranet and internet information and applications. 1194.23 Telecommunications products. 1194.24 Video

More information

ABSTRACT I. INTRODUCTION

ABSTRACT I. INTRODUCTION International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2017 IJSRCSEIT Volume 2 Issue 5 ISSN : 2456-3307 An Innovative Artificial Replacement to Facilitate

More information

Avaya one-x Communicator for Mac OS X R2.0 Voluntary Product Accessibility Template (VPAT)

Avaya one-x Communicator for Mac OS X R2.0 Voluntary Product Accessibility Template (VPAT) Avaya one-x Communicator for Mac OS X R2.0 Voluntary Product Accessibility Template (VPAT) Avaya one-x Communicator is a unified communications client that allows people to communicate using VoIP and Contacts.

More information

Summary Table Voluntary Product Accessibility Template

Summary Table Voluntary Product Accessibility Template The following Voluntary Product Accessibility refers to the Apple MacBook Air. For more on the accessibility features of Mac OS X and the MacBook Air, visit Apple s accessibility Web site at http://www.apple.com/accessibility.

More information

LiveTalk: Real-time Information Sharing. between hearing-impaired people and

LiveTalk: Real-time Information Sharing. between hearing-impaired people and : Real-time Information Sharing between Hearing-impaired People and People with Normal Hearing Shinichi Ono Yasuaki Takamoto Yoshiki Matsuda In recent years, more and more people have been recognizing

More information

Summary. About Pilot Waverly Labs is... Core Team Pilot Translation Kit FAQ Pilot Speech Translation App FAQ Testimonials Contact Useful Links. p.

Summary. About Pilot Waverly Labs is... Core Team Pilot Translation Kit FAQ Pilot Speech Translation App FAQ Testimonials Contact Useful Links. p. Press kit Summary About Pilot Waverly Labs is... Core Team Pilot Translation Kit FAQ Pilot Speech Translation App FAQ Testimonials Contact Useful Links p. 3 p.4 p. 5 p. 6 p. 8 p. 10 p. 12 p. 14 p. 16 p.

More information

Requirements for Maintaining Web Access for Hearing-Impaired Individuals

Requirements for Maintaining Web Access for Hearing-Impaired Individuals Requirements for Maintaining Web Access for Hearing-Impaired Individuals Daniel M. Berry 2003 Daniel M. Berry WSE 2001 Access for HI Requirements for Maintaining Web Access for Hearing-Impaired Individuals

More information

Providing Effective Communication Access

Providing Effective Communication Access Providing Effective Communication Access 2 nd International Hearing Loop Conference June 19 th, 2011 Matthew H. Bakke, Ph.D., CCC A Gallaudet University Outline of the Presentation Factors Affecting Communication

More information

Glossary of Disability-Related Terms

Glossary of Disability-Related Terms Glossary of Disability-Related Terms Accessible: In the case of a facility, readily usable by a particular individual; in the case of a program or activity, presented or provided in such a way that a particular

More information

Note: This document describes normal operational functionality. It does not include maintenance and troubleshooting procedures.

Note: This document describes normal operational functionality. It does not include maintenance and troubleshooting procedures. Date: 18 Nov 2013 Voluntary Accessibility Template (VPAT) This Voluntary Product Accessibility Template (VPAT) describes accessibility of Polycom s C100 and CX100 family against the criteria described

More information

Summary Table Voluntary Product Accessibility Template. Supporting Features. Supports. Supports. Supports. Supports

Summary Table Voluntary Product Accessibility Template. Supporting Features. Supports. Supports. Supports. Supports Date: March 31, 2016 Name of Product: ThinkServer TS450, TS550 Summary Table Voluntary Product Accessibility Template Section 1194.21 Software Applications and Operating Systems Section 1194.22 Web-based

More information

ABSTRACT I. INTRODUCTION

ABSTRACT I. INTRODUCTION 2018 IJSRSET Volume 4 Issue 2 Print ISSN: 2395-1990 Online ISSN : 2394-4099 National Conference on Advanced Research Trends in Information and Computing Technologies (NCARTICT-2018), Department of IT,

More information

ECE 480 Proposal Team 4 Accessible Insulin Pump Design Caitlin Ramsey Jianwen Lu Michael Greene August Garrett

ECE 480 Proposal Team 4 Accessible Insulin Pump Design Caitlin Ramsey Jianwen Lu Michael Greene August Garrett ECE 480 Proposal Team 4 Accessible Insulin Pump Design Caitlin Ramsey Jianwen Lu Michael Greene August Garrett Executive Summary Due to a growing demand for an insulin pump that can be controlled by a

More information

VPAT for Apple MacBook Air (mid 2013)

VPAT for Apple MacBook Air (mid 2013) VPAT for Apple MacBook Air (mid 2013) The following Voluntary Product Accessibility information refers to the Apple MacBook air (mid 2013). For more information on the accessibility features of Mac OS

More information

Digital. hearing instruments have burst on the

Digital. hearing instruments have burst on the Testing Digital and Analog Hearing Instruments: Processing Time Delays and Phase Measurements A look at potential side effects and ways of measuring them by George J. Frye Digital. hearing instruments

More information

TExES Deaf and Hard-of-Hearing (181) Test at a Glance

TExES Deaf and Hard-of-Hearing (181) Test at a Glance TExES Deaf and Hard-of-Hearing (181) Test at a Glance See the test preparation manual for complete information about the test along with sample questions, study tips and preparation resources. Test Name

More information

Is Phonology Necessary for Language?

Is Phonology Necessary for Language? Is Phonology Necessary for Language? Wendy Sandler & Mark Aronoff Emergence of Language Structures Workshop The Center for Research in Language and The Kavli Institute for Brain and Mind UCSD February

More information

Communication-Translator for Deaf Dumb and Normal People. (CommuLator)

Communication-Translator for Deaf Dumb and Normal People. (CommuLator) Communication-Translator for Deaf Dumb and Normal People (CommuLator) Vishal Srivastava, Apurva Langote, Roma Barik Vishal Srivastava vishalsrivastava8994@gmail.com Apurva Langote apurva.langote@gmail.com

More information

SUMMARY TABLE VOLUNTARY PRODUCT ACCESSIBILITY TEMPLATE

SUMMARY TABLE VOLUNTARY PRODUCT ACCESSIBILITY TEMPLATE Date: 2 November 2010 Updated by Alan Batt Name of Product: Polycom CX600 IP Phone for Microsoft Lync Company contact for more Information: Ian Jennings, ian.jennings@polycom.com Note: This document describes

More information

Summary Table Voluntary Product Accessibility Template. Supports. Please refer to. Supports. Please refer to

Summary Table Voluntary Product Accessibility Template. Supports. Please refer to. Supports. Please refer to Date Aug-07 Name of product SMART Board 600 series interactive whiteboard SMART Board 640, 660 and 680 interactive whiteboards address Section 508 standards as set forth below Contact for more information

More information

Summary Table: Voluntary Product Accessibility Template

Summary Table: Voluntary Product Accessibility Template Date: September 15, 2016 Name of Product: Cisco 9900, 8900, and 8800 Series Unified IP Phones Contact for more Information: accessibility@cisco.com Summary Table: Voluntary Product Accessibility Template

More information

The power to connect us ALL.

The power to connect us ALL. Provided by Hamilton Relay www.ca-relay.com The power to connect us ALL. www.ddtp.org 17E Table of Contents What Is California Relay Service?...1 How Does a Relay Call Work?.... 2 Making the Most of Your

More information

Technology for Visual and Auditory Access - Trends and the Future. Christian Vogler, Ph.D. Director, Technology Access Program Gallaudet University

Technology for Visual and Auditory Access - Trends and the Future. Christian Vogler, Ph.D. Director, Technology Access Program Gallaudet University Technology for Visual and Auditory Access - Trends and the Future Christian Vogler, Ph.D. Director, Technology Access Program Gallaudet University Who I am Grew up in Germany Computer science background

More information

Summary Table Voluntary Product Accessibility Template. Supporting Features. Not Applicable. Supports. Not Applicable. Supports

Summary Table Voluntary Product Accessibility Template. Supporting Features. Not Applicable. Supports. Not Applicable. Supports Page 1 of 5 PLANTRONICS Over the Head USB Noise cancelling Stereo: Operated with DA60 In-line Stereo QD W/ D261N Over the Head USB Noise cancelling Mono/ Binaural: Operated with DA60 In-line Mono QD W/

More information

Note: This document describes normal operational functionality. It does not include maintenance and troubleshooting procedures.

Note: This document describes normal operational functionality. It does not include maintenance and troubleshooting procedures. Date: 9 September 2011 Voluntary Accessibility Template (VPAT) This Voluntary Product Accessibility Template (VPAT) describes accessibility of Polycom s SoundStation IP5000 conference phone against the

More information

Research Proposal on Emotion Recognition

Research Proposal on Emotion Recognition Research Proposal on Emotion Recognition Colin Grubb June 3, 2012 Abstract In this paper I will introduce my thesis question: To what extent can emotion recognition be improved by combining audio and visual

More information

SOLUTIONS Homework #3. Introduction to Engineering in Medicine and Biology ECEN 1001 Due Tues. 9/30/03

SOLUTIONS Homework #3. Introduction to Engineering in Medicine and Biology ECEN 1001 Due Tues. 9/30/03 SOLUTIONS Homework #3 Introduction to Engineering in Medicine and Biology ECEN 1001 Due Tues. 9/30/03 Problem 1: a) Where in the cochlea would you say the process of "fourier decomposition" of the incoming

More information

Universal Usability. Ethical, good business, the law SE 444 R.I.T. S. Ludi/R. Kuehl p. 1 R I T. Software Engineering

Universal Usability. Ethical, good business, the law SE 444 R.I.T. S. Ludi/R. Kuehl p. 1 R I T. Software Engineering Universal Usability Ethical, good business, the law SE 444 S. Ludi/R. Kuehl p. 1 Topics Universal usability and software ethics Visually impaired Deaf and hard of hearing Dexterity and mobility impairments

More information

Summary Table Voluntary Product Accessibility Template. Supports. Not Applicable. Not Applicable- Not Applicable- Supports

Summary Table Voluntary Product Accessibility Template. Supports. Not Applicable. Not Applicable- Not Applicable- Supports PLANTRONICS VPAT 1 Product: Telephony Call Center Hearing Aid Compatible (HAC) Headsets Summary Table Section 1194.21 Software Applications and Operating Systems Section 1194.22 Web-based internet information

More information

Section Telecommunications Products Toll-Free Service (TFS) Detail Voluntary Product Accessibility Template

Section Telecommunications Products Toll-Free Service (TFS) Detail Voluntary Product Accessibility Template (a) Telecommunications products or systems which provide a function allowing voice communication and which do not themselves provide a TTY functionality shall provide a standard non-acoustic connection

More information

Cisco Unified Communications: Bringing Innovation to Accessibility

Cisco Unified Communications: Bringing Innovation to Accessibility Cisco Unified Communications: Bringing Innovation to Accessibility Today s diverse workforce creates extraordinary value for business, government, and education. At the same time, it introduces new challenges.

More information

Priya Rani 1, A N Cheeran 2, Vaibhav D Awandekar 3 and Rameshwari S Mane 4

Priya Rani 1, A N Cheeran 2, Vaibhav D Awandekar 3 and Rameshwari S Mane 4 Remote Monitoring of Heart Sounds in Real-Time Priya Rani 1, A N Cheeran 2, Vaibhav D Awandekar 3 and Rameshwari S Mane 4 1,4 M. Tech. Student (Electronics), VJTI, Mumbai, Maharashtra 2 Associate Professor,

More information

SUMMARY TABLE VOLUNTARY PRODUCT ACCESSIBILITY TEMPLATE

SUMMARY TABLE VOLUNTARY PRODUCT ACCESSIBILITY TEMPLATE Date: 1 August 2009 Voluntary Accessibility Template (VPAT) This Voluntary Product Accessibility Template (VPAT) describes accessibility of Polycom s PSTN Speakerphones: VoiceStation300, VoiceStation500,

More information

A Simple Portable ECG Monitor with IOT

A Simple Portable ECG Monitor with IOT A Simple Portable ECG Monitor with IOT R. H. Sayyed 1, Maqdoom Farooqui 2, A. R. Khan 3 and Gulam Rabbani 4 Asso. Prof, Department of Electronic Science, Abeda Inamdar Sr. College, Pune, India 1 Principal,

More information

A qualified interpreter is one who, via an onsite appearance or a video remote interpreting service (VRI), can:

A qualified interpreter is one who, via an onsite appearance or a video remote interpreting service (VRI), can: CHAPTER: Page 1 of 6 12.0 Introduction Title II of the Americans with Disabilities Act (ADA) prohibits discrimination in the services, programs, and activities of all state and local governments on the

More information

LANGUAGE ARTS AMERICAN SIGN LANGUAGE I COMPONENT. Volume I - Page 173 LANGUAGE ARTS - AMERICAN SIGN LANGUAGE I

LANGUAGE ARTS AMERICAN SIGN LANGUAGE I COMPONENT. Volume I - Page 173 LANGUAGE ARTS - AMERICAN SIGN LANGUAGE I I Visual Readiness (Presigning skills) 1. Employs efficient use of the eyes for receiving optimum visual input using the following skills: - visual focusing - peripheral vision - visual discrimination

More information

Summary Table Voluntary Product Accessibility Template. Criteria Supporting Features Remarks and explanations

Summary Table Voluntary Product Accessibility Template. Criteria Supporting Features Remarks and explanations Plantronics VPAT 2 Product: Call Center Headsets (Non-HAC) Summary Table Voluntary Product Accessibility Template Section 1194.21 Software Applications and Operating Systems Section 1194.22 Web-based intranet

More information

RASPBERRY PI BASED ECG DATA ACQUISITION SYSTEM

RASPBERRY PI BASED ECG DATA ACQUISITION SYSTEM RASPBERRY PI BASED ECG DATA ACQUISITION SYSTEM Ms.Gauravi.A.Yadav 1, Prof. Shailaja.S.Patil 2 Department of electronics and telecommunication Engineering Rajarambapu Institute of Technology, Rajaramnagar

More information

Avaya B179 Conference Telephone Voluntary Product Accessibility Template (VPAT)

Avaya B179 Conference Telephone Voluntary Product Accessibility Template (VPAT) Avaya B179 Conference Telephone Voluntary Product Accessibility Template (VPAT) The Avaya B179 Conference Telephone is a sophisticated speakerphone, intended for use by groups of ten or more individuals

More information

Summary Table Voluntary Product Accessibility Template. Criteria Supporting Features Remarks and explanations

Summary Table Voluntary Product Accessibility Template. Criteria Supporting Features Remarks and explanations Plantronics VPAT-12 Summary Table Voluntary Product Accessibility Template Section 1194.21 Software Applications and Operating Systems Section 1194.22 Web-based intranet and Internet Information and Applications

More information

HOW TO USE THE SHURE MXA910 CEILING ARRAY MICROPHONE FOR VOICE LIFT

HOW TO USE THE SHURE MXA910 CEILING ARRAY MICROPHONE FOR VOICE LIFT HOW TO USE THE SHURE MXA910 CEILING ARRAY MICROPHONE FOR VOICE LIFT Created: Sept 2016 Updated: June 2017 By: Luis Guerra Troy Jensen The Shure MXA910 Ceiling Array Microphone offers the unique advantage

More information

Online Speaker Adaptation of an Acoustic Model using Face Recognition

Online Speaker Adaptation of an Acoustic Model using Face Recognition Online Speaker Adaptation of an Acoustic Model using Face Recognition Pavel Campr 1, Aleš Pražák 2, Josef V. Psutka 2, and Josef Psutka 2 1 Center for Machine Perception, Department of Cybernetics, Faculty

More information

Cisco Unified Communications Accessibility Innovation

Cisco Unified Communications Accessibility Innovation Cisco Unified Communications Accessibility Innovation Cisco Accessibility Team: accessibility@cisco.com Released: March, 2017 Making Cisco Unified Communication Accessible for Everyone Cisco s Commitment

More information

1 Pattern Recognition 2 1

1 Pattern Recognition 2 1 1 Pattern Recognition 2 1 3 Perceptrons by M.L. Minsky and S.A. Papert (1969) Books: 4 Pattern Recognition, fourth Edition (Hardcover) by Sergios Theodoridis, Konstantinos Koutroumbas Publisher: Academic

More information

BLOOD GLUCOSE LEVEL MONITORING BY NONINVASIVE METHOD USING NEAR INFRA RED SENSOR

BLOOD GLUCOSE LEVEL MONITORING BY NONINVASIVE METHOD USING NEAR INFRA RED SENSOR BLOOD GLUCOSE LEVEL MONITORING BY NONINVASIVE METHOD USING NEAR INFRA RED SENSOR P.Daarani 1 & A.Kavithamani 2 International Journal of Latest Trends in Engineering and Technology pp. 141-147 DOI: http://dx.doi.org/10.21172/1.ires.19

More information

Sign Language MT. Sara Morrissey

Sign Language MT. Sara Morrissey Sign Language MT Sara Morrissey Introduction Overview Irish Sign Language Problems for SLMT SLMT Data MaTrEx for SLs Future work Introduction (1) Motivation SLs are poorly resourced and lack political,

More information

SiS9255. Projected Capacitive. Touch-Screen Micro Processor. Data sheet. Rev. 1.2 August 18, 2015

SiS9255. Projected Capacitive. Touch-Screen Micro Processor. Data sheet. Rev. 1.2 August 18, 2015 SiS9255 Projected Capacitive Touch-Screen Micro Processor Data sheet Rev. 1.2 August 18, 2015 This specification is subject to change without notice. Silicon Integrated Systems Corporation assumes no responsibility

More information

Learning Objectives. AT Goals. Assistive Technology for Sensory Impairments. Review Course for Assistive Technology Practitioners & Suppliers

Learning Objectives. AT Goals. Assistive Technology for Sensory Impairments. Review Course for Assistive Technology Practitioners & Suppliers Assistive Technology for Sensory Impairments Review Course for Assistive Technology Practitioners & Suppliers Learning Objectives Define the purpose of AT for persons who have sensory impairment Identify

More information

The intelligent space for the elderly Implementation of fall detection algorithm

The intelligent space for the elderly Implementation of fall detection algorithm SICE Annual Conference 2012 August 20-23, 2012, Akita University, Akita, Japan The intelligent space for the elderly Implementation of fall detection algorithm Somchanok Tivatansakul 1, Sikana Tanupaprungsun

More information

Sign Language Recognition using Kinect

Sign Language Recognition using Kinect Sign Language Recognition using Kinect Edon Mustafa 1, Konstantinos Dimopoulos 2 1 South-East European Research Centre, University of Sheffield, Thessaloniki, Greece 2 CITY College- International Faculty

More information

Product Model #:ASTRO Digital Spectra Consolette W7 Models (Local Control)

Product Model #:ASTRO Digital Spectra Consolette W7 Models (Local Control) Subpart 1194.25 Self-Contained, Closed Products When a timed response is required alert user, allow sufficient time for him to indicate that he needs additional time to respond [ N/A ] For touch screen

More information

Avaya 2500 Series Analog Telephones Voluntary Product Accessibility Template (VPAT)

Avaya 2500 Series Analog Telephones Voluntary Product Accessibility Template (VPAT) Telephones Voluntary Product Accessibility Template (VPAT) The Telephones that are presently being produced are the Models 2500 MMGN, 2500 YMGP, 2554 MMGN, and 2554 YMGP. The 2500 telephones are desktop

More information

Sign Language Fun in the Early Childhood Classroom

Sign Language Fun in the Early Childhood Classroom Sign Language Fun in the Early Childhood Classroom Enrich Language and Literacy Skills of Young Hearing Children, Children with Special Needs, and English Language Learners by Sherrill B. Flora My name

More information

OSEP Leadership Conference

OSEP Leadership Conference OSEP Leadership Conference Presenter Guidelines Prepared by: 1000 Thomas Jefferson Street NW Washington, DC 20007-3835 202.403.5000 www.air.org Copyright. All rights reserved. Contents OSEP Leadership

More information

Summary Table Voluntary Product Accessibility Template

Summary Table Voluntary Product Accessibility Template PLANTRONICS VPAT 3 Product: Wireless Hearing Aid Compatible (HAC) Headsets Operated with dedicated Base assembly Over the Head Voice Tube: Pulsar 590, CS351 Over the Head Noise-Canceling: CS351N Convertible

More information

Indian Sign Language Font

Indian Sign Language Font Typography and Education http://www.typoday.in Indian Sign Language Font HELPING HANDS Nakul Singal, M.S.U Faculty of Fine Arts, Baroda, nakulsingal07@gmail.com Abstract: This abstract aims to showcase

More information

Summary Table Voluntary Product Accessibility Template

Summary Table Voluntary Product Accessibility Template PLANTRONICS VPAT 4 Product: Wireless Headsets (Non-HAC) Operated with dedicated Base assembly Over the Ear Voice Tube: CS70, CS70/HL10 Lifter Over the Ear Noise-Canceling: 510S, 510S/HL10 Lifter Summary

More information

Navigator: 2 Degree of Freedom Robotics Hand Rehabilitation Device

Navigator: 2 Degree of Freedom Robotics Hand Rehabilitation Device Navigator: 2 Degree of Freedom Robotics Hand Rehabilitation Device Design Team Ray Adler, Katherine Bausemer, Joseph Gonsalves, Patrick Murphy, Kevin Thompson Design Advisors Prof. Constantinos Mavroidis,

More information

Using $1 UNISTROKE Recognizer Algorithm in Gesture Recognition of Hijaiyah Malaysian Hand-Code

Using $1 UNISTROKE Recognizer Algorithm in Gesture Recognition of Hijaiyah Malaysian Hand-Code Using $ UNISTROKE Recognizer Algorithm in Gesture Recognition of Hijaiyah Malaysian Hand-Code Nazean Jomhari,2, Ahmed Nazim, Nor Aziah Mohd Daud 2, Mohd Yakub Zulkifli 2 Izzaidah Zubi & Ana Hairani 2 Faculty

More information