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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, partici...
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| Publicado no: | Int Conf Affect Comput Intell Interact Workshops |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5431070/ https://ncbi.nlm.nih.gov/pubmed/28515966 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ACII.2015.7344575 |
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