TY - GEN
T1 - Emotion recognition using biological signal in intelligent space
AU - Rattanyu, Kanlaya
AU - Mizukawa, Makoto
PY - 2011
Y1 - 2011
N2 - In this study, we focus on emotion recognition for service robots in the living space based on Electrocardiogram (ECG). An emotional state is important information that allows a robot system to provide appropriate services in way that are more in tune with users' needs and preferences. Moreover, the users' emotional state can be feedbacks to evaluate user's level of satisfaction in the services. We apply a diagnosis method that uses both inter-beat and within-beat features of ECG. The post hoc tests in Analysis of Variance (ANOVA) showed that our approach satisfies more confidence level of difference between emotions than conventional methods. Our system design was based on wireless and wearable biological sensor for mobility and convenience of users' daily lifestyle.
AB - In this study, we focus on emotion recognition for service robots in the living space based on Electrocardiogram (ECG). An emotional state is important information that allows a robot system to provide appropriate services in way that are more in tune with users' needs and preferences. Moreover, the users' emotional state can be feedbacks to evaluate user's level of satisfaction in the services. We apply a diagnosis method that uses both inter-beat and within-beat features of ECG. The post hoc tests in Analysis of Variance (ANOVA) showed that our approach satisfies more confidence level of difference between emotions than conventional methods. Our system design was based on wireless and wearable biological sensor for mobility and convenience of users' daily lifestyle.
KW - ECG
KW - Emotion Recognition
KW - Intelligent Space
UR - http://www.scopus.com/inward/record.url?scp=79960325339&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960325339&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21616-9_66
DO - 10.1007/978-3-642-21616-9_66
M3 - Conference contribution
AN - SCOPUS:79960325339
SN - 9783642216152
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 586
EP - 592
BT - Human-Computer Interaction
T2 - 14th International Conference on Human-Computer Interaction, HCI International 2011
Y2 - 9 July 2011 through 14 July 2011
ER -