TY - GEN
T1 - The design, implementation and evaluation of a relaxation service with facial emotion detection
AU - Tivatansakul, Somchanok
AU - Ohkura, Michiko
N1 - Publisher Copyright:
© 2014 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2015/1/12
Y1 - 2015/1/12
N2 - Even though current research includes many proposals for systems that provide assistance and services to people in healthcare fields, such systems generally emphasize the support of physical rather than emotional aspects. Emotional health is as important as physical health. Negative emotional health can lead to social or mental health problems. To cope with negative emotional health, we proposed a healthcare system that focuses on emotional aspects by integrating emotion detection from facial expressions to recognize the current emotional states of users. When they are experiencing negative emotions, our system suggests that they take a break and provides appropriate services (including relaxation, amusement and excitement services) with augmented reality and Kinect to improve their emotional state. This paper presents a prototype of a relaxation service with real-time facial emotion detection, describes its design and implementation, and experimentally evaluates user feelings while they experience our relaxation service with real-time facial emotion detection.
AB - Even though current research includes many proposals for systems that provide assistance and services to people in healthcare fields, such systems generally emphasize the support of physical rather than emotional aspects. Emotional health is as important as physical health. Negative emotional health can lead to social or mental health problems. To cope with negative emotional health, we proposed a healthcare system that focuses on emotional aspects by integrating emotion detection from facial expressions to recognize the current emotional states of users. When they are experiencing negative emotions, our system suggests that they take a break and provides appropriate services (including relaxation, amusement and excitement services) with augmented reality and Kinect to improve their emotional state. This paper presents a prototype of a relaxation service with real-time facial emotion detection, describes its design and implementation, and experimentally evaluates user feelings while they experience our relaxation service with real-time facial emotion detection.
KW - E-healthcare
KW - Emotion recognition
KW - Facial expression
KW - Relaxation service
UR - http://www.scopus.com/inward/record.url?scp=84922570835&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84922570835&partnerID=8YFLogxK
U2 - 10.1109/CICARE.2014.7007832
DO - 10.1109/CICARE.2014.7007832
M3 - Conference contribution
AN - SCOPUS:84922570835
T3 - IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CICARE 2014: 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-Health, Proceedings
SP - 40
EP - 47
BT - IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CICARE 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 2nd IEEE Symposium on Computational Intelligence in Healthcare and e-Health, CICARE 2014
Y2 - 9 December 2014 through 12 December 2014
ER -