Predicting students' happiness from physiology, phone, mobility, and behavioral data
In order to model students' happiness, we apply machine learning methods to data collected from undergrad students monitored over the course of one month each. The data collected include physiological signals, location, smartphone logs, and survey responses to behavioral questions. Each day, pa...
| Main Authors: | , , , , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2017-04-06T20:22:26Z.
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| Subjects: | |
| Online Access: | Get fulltext |