TY - GEN
T1 - Estimation of Emotions by Wearable Biometric Sensors under Daily Activities
AU - Hayano, Junichiro
AU - Tanabiki, Tetsuya
AU - Iwata, Shinichiro
AU - Abe, Katsumi
AU - Yuda, Emi
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/12
Y1 - 2018/12/12
N2 - To examine the possibility of emotion estimation under daily activities with wearable sensors of objective biomarkers, we developed a discriminant model of the kind of emotion using pulse rate variability, skin temperature, body motion, and conversation. During 10 weeks of the experimental period, 5 healthy subjects recorded strongly conscious emotions (happy, relaxed, sad, and angry) at every 30 min during working hours. Significant association with the type of emotion was detected for heart rate, the variance of the frequency component of pulse rate variability, body movement, skin temperature, and conversation. Stepwise canonical discriminant analysis using these variables revealed that the kind of emotion can be expanded in two dimensions reflecting the levels of arousal and valence, respectively.
AB - To examine the possibility of emotion estimation under daily activities with wearable sensors of objective biomarkers, we developed a discriminant model of the kind of emotion using pulse rate variability, skin temperature, body motion, and conversation. During 10 weeks of the experimental period, 5 healthy subjects recorded strongly conscious emotions (happy, relaxed, sad, and angry) at every 30 min during working hours. Significant association with the type of emotion was detected for heart rate, the variance of the frequency component of pulse rate variability, body movement, skin temperature, and conversation. Stepwise canonical discriminant analysis using these variables revealed that the kind of emotion can be expanded in two dimensions reflecting the levels of arousal and valence, respectively.
KW - Actigram
KW - Biometrics
KW - Conversation
KW - Emotion
KW - Pulse wave
KW - Skin temperature
KW - Wearable sensor
UR - http://www.scopus.com/inward/record.url?scp=85060275234&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060275234&partnerID=8YFLogxK
U2 - 10.1109/GCCE.2018.8574758
DO - 10.1109/GCCE.2018.8574758
M3 - Conference contribution
AN - SCOPUS:85060275234
T3 - 2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
SP - 268
EP - 269
BT - 2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE Global Conference on Consumer Electronics, GCCE 2018
Y2 - 9 October 2018 through 12 October 2018
ER -