This paper presents our prototype wearable system for monitoring emotion and fatigue of users. We develop a hardware part that can measure Galvanic skin response and photoplethysmography at a sampling rate of 100 Hz. In addition, we build a classification module that can distinguish the type of emotion and the level of fatigue of the user based on the measured signals. It is demonstrated that the developed system can successfully be used for emotion and fatigue monitoring.
|Title of host publication||Proceedings of the 6th International Conference on Green and Human Information Technology - ICGHIT 2018|
|Editors||Franklin Bien, Syh Yuan Tan, Seong Oun Hwang|
|Number of pages||6|
|Publication status||Published - 2019|
|Event||6th International Conference on Green and Human Information Technology, ICGHIT 2018 - Chiang Mai, Thailand|
Duration: 2018 Jan 31 → 2018 Feb 2
|Name||Lecture Notes in Electrical Engineering|
|Conference||6th International Conference on Green and Human Information Technology, ICGHIT 2018|
|Period||18/1/31 → 18/2/2|
Bibliographical noteFunding Information:
Acknowledgment. This work was supported by the Technology Innovation Program (10052841, “Development of stretchable smart band for young people”) funded by the Ministry of Trade, Industry and Energy, Korea.
© 2019, Springer Nature Singapore Pte Ltd.
All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering