Abstract
In this paper, we present a wearable facial expression recognition system that can analyse and enhance a daily experience. Our aim is to create a mindful experience in daily life by connecting the device with everyday objects and service. To this end, we made two prototypes that supports users to keep right side of emotions: 1) a text chatting system that automatically inserts an emoticon based on his/her facial expressions in the end of a comment a user typed, 2) a plant interface controlled by facial expressions. We also analysed multiple users' facial expressions while they played video games. We confirmed that visualization of sensor data from the device shows the possibility for estimating the transition of different facial expressions.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 13th International Conference on Advances in Computer Entertainment Technology, ACE 2016 |
| Publisher | Association for Computing Machinery |
| Volume | Part F125634 |
| ISBN (Electronic) | 9781450347730 |
| DOIs | |
| Publication status | Published - 2016 Nov 9 |
| Event | 13th International Conference on Advances in Computer Entertainment Technology, ACE 2016 - Osaka, Japan Duration: 2016 Nov 9 → 2016 Nov 12 |
Other
| Other | 13th International Conference on Advances in Computer Entertainment Technology, ACE 2016 |
|---|---|
| Country | Japan |
| City | Osaka |
| Period | 16/11/9 → 16/11/12 |
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Keywords
- Affective computing
- Facial expression
- Social interaction
- Wearables
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software
Cite this
Analysis of multiple users' experience in daily life using wearable device for facial expression recognition. / Masai, Katsutoshi; Itoh, Yuta; Sugiura, Yuta; Sugimoto, Maki.
Proceedings - 13th International Conference on Advances in Computer Entertainment Technology, ACE 2016. Vol. Part F125634 Association for Computing Machinery, 2016. a52.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Analysis of multiple users' experience in daily life using wearable device for facial expression recognition
AU - Masai, Katsutoshi
AU - Itoh, Yuta
AU - Sugiura, Yuta
AU - Sugimoto, Maki
PY - 2016/11/9
Y1 - 2016/11/9
N2 - In this paper, we present a wearable facial expression recognition system that can analyse and enhance a daily experience. Our aim is to create a mindful experience in daily life by connecting the device with everyday objects and service. To this end, we made two prototypes that supports users to keep right side of emotions: 1) a text chatting system that automatically inserts an emoticon based on his/her facial expressions in the end of a comment a user typed, 2) a plant interface controlled by facial expressions. We also analysed multiple users' facial expressions while they played video games. We confirmed that visualization of sensor data from the device shows the possibility for estimating the transition of different facial expressions.
AB - In this paper, we present a wearable facial expression recognition system that can analyse and enhance a daily experience. Our aim is to create a mindful experience in daily life by connecting the device with everyday objects and service. To this end, we made two prototypes that supports users to keep right side of emotions: 1) a text chatting system that automatically inserts an emoticon based on his/her facial expressions in the end of a comment a user typed, 2) a plant interface controlled by facial expressions. We also analysed multiple users' facial expressions while they played video games. We confirmed that visualization of sensor data from the device shows the possibility for estimating the transition of different facial expressions.
KW - Affective computing
KW - Facial expression
KW - Social interaction
KW - Wearables
UR - http://www.scopus.com/inward/record.url?scp=85014703485&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85014703485&partnerID=8YFLogxK
U2 - 10.1145/3001773.3014351
DO - 10.1145/3001773.3014351
M3 - Conference contribution
AN - SCOPUS:85014703485
VL - Part F125634
BT - Proceedings - 13th International Conference on Advances in Computer Entertainment Technology, ACE 2016
PB - Association for Computing Machinery
ER -