Understanding Ambulatory and Wearable Data for Health and Wellness
In our research, we aim (1) to recognize human internal states and behaviors (stress level, mood and sleep behaviors etc), (2) to reveal which features in which data can work as predictors and (3) to use them for intervention. We collect multi-modal (physiological, behavioral, environmental, and soc...
| Main Authors: | , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Association for the Advancement of Artificial Intelligence,
2014-12-22T18:33:37Z.
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| Subjects: | |
| Online Access: | Get fulltext |