Motivation. The Emotion is the way of the representation to express their inner face. - Bertand Russell, Philosopher, of 24

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2 Motivation The Emotion is the way of the representation to express their inner face. - Bertand Russell, Philosopher, 1872 Jerome Kagan, What is Emotion?: History, Measures, and Meanings, ISBN , Yale University Press 2 of 24

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4 Introduction

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6 : How can we feel the emotion?

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8 Related works : Device or Service based : Wearable Device & Service based studies. : The emotion detection from EEG signal Yu Hao et al, A Visual Feedback Design based on a Brain-Computer Interface to Assist Users Regulate their Emotional State, CHI 2014, One of a CHInd, Toronto, ON, Canada, Work-in-Progress : Emotion detection wearable device Sara Ferraro et al, TWINY emotional logging, ISWC '14 ADJUNCT, SEPTEMBER 13-17, 2014, SEATTLE, WA, USA : Emotion cartography Christian Nold, Emotion caltography, ETC : Foursquare, IM in(only SNS) 8 of 24

9 Work Definition

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11 Factor Study This work Biometric based Device or Service based Bio-data HRV / GSR ECG, EEG, Resperation EEG, HRV Device Development Wearable Experimental Equipments Wearable Emotion classification 5 6 ~ 2 Color & Visual External factors Sound & Humidity Temperature. Analyized Data Transfer WiFi & BLE Laboratory, Wired Data

12 K. H. Kim et al, Emotion Recognition system using short-term monitoring of physiological signals, 2004

13 Bio-data Analysis Emotion Feedback HRV GSR Arousal High Arousal Low Place Temp. Hum. Emotion Model Emotion DB Internal External Happy Sound Internal UnHappy External

14 HRV Emotion Analysis 4 Emotion Analysis 2 Profile Profile GPS Emotion Analysis 1 Emotion Database GSR, Temp., Sound Emotion Analysis 5 Emotion Analysis 3 Emoti on GPS GeeYoung Noh, DongNyuk Jeong, SangSun Park, Heart Map : Shared Emotions based on Map Service, CHI 2015 work in progress

15 Pilot Experiment

16 Sangsun Park et al, A study on the human emotion inference in meaningful place using HRV signal and text mapping. HCI 2015,

17 Sangsun Park et al, A study on the human emotion inference in meaningful place using HRV signal and text mapping. HCI 2015,

18 Equipment

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21 Experimental process IAPS(Affective Picture System) It could be more responsibility using the Emotion pictures from IAP organization. The 5 Experiment pictures have reflected the 3 kinds of normal context emotion. Participants result, 20Min, Compare Means The Experimental situation represented by 2 cases. Humidity Case 1 : Natural below 50% / Case 2 : Above 80%(Use humidifier) Sound Case 1 : Natural noise in laboratory ( Below 50db) / Case 2 : White Noise(Above 00db) 소음측정 및 평가, 산업안전보건연구원 안정위생연구센터, of 24

22 Experiment II Result

23 Experimental result : Data Analysis - Each 10 seconds using HRV+GSR (+Sound+Humidity) High High Arousal 94 HRV Time(s) Time(s) High 700 Unhappy Happy High High Sad Neutral Time(s) Time(s) High Happy High High Arousal High Emotion Level Low Arousal GSR of 24 Exciting 1 Time(s) Time(s)

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27 Castaldo, R., et al. "Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis." Biomedical Signal Processing and Control 18 (2015):

28 Hagit, C. et al. (1998). "Analysis of heart rate variability in posttraumatic stress disorder patients in response to a trauma-related reminder". Biological Psychiatry 44 (10): doi: /s (97) PMID

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