Abstract
Accurate recognition of people's responses to stress and timely management of stress is one of the important aspects of maintaining good health. However, recognizing such reactions is difficult since people react to stressful events in various ways. Accordingly, we propose a multi-modal stress monitoring framework to examine people's physiological and behavioral reactions to stressors. Our framework consists of (i) multimodal data collection related to mental stress, (ii) stress inducing experiment in a laboratory, and (iii) signal examination software in real-time and after the data collection. Through preliminary experiments, we have examined how people show various reactions to different kinds of stressful tasks. Finally, based on the proposed framework, we will establish a database contributing to the mental health sensing research.
Original language | English |
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Title of host publication | UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers |
Publisher | Association for Computing Machinery, Inc |
Pages | 822-829 |
Number of pages | 8 |
ISBN (Electronic) | 9781450351904 |
DOIs | |
Publication status | Published - 2017 Sept 11 |
Event | 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 - Maui, United States Duration: 2017 Sept 11 → 2017 Sept 15 |
Publication series
Name | UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers |
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Other
Other | 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 |
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Country/Territory | United States |
City | Maui |
Period | 17/9/11 → 17/9/15 |
Bibliographical note
Publisher Copyright:Copyright © 2017 ACM.
All Science Journal Classification (ASJC) codes
- Software
- Hardware and Architecture
- Computer Networks and Communications