Monitoring and Prediction of Mood in Elderly People during Daily Life Activities
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866908880258203648 |
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| author | Bautista-Salinas, Daniel González, Joaquín Roca Méndez, Inmaculada Mozos, Oscar Martinez |
| author_facet | Bautista-Salinas, Daniel González, Joaquín Roca Méndez, Inmaculada Mozos, Oscar Martinez |
| contents | We present an intelligent wearable system to monitor and predict mood states of elderly people during their daily life activities. Our system is composed of a wristband to record different physiological activities together with a mobile app for ecological momentary assessment (EMA). Machine learning is used to train a classifier to automatically predict different mood states based on the smart band only. Our approach shows promising results on mood accuracy and provides results comparable with the state of the art in the specific detection of happiness and activeness. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_11230 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Monitoring and Prediction of Mood in Elderly People during Daily Life Activities Bautista-Salinas, Daniel González, Joaquín Roca Méndez, Inmaculada Mozos, Oscar Martinez Machine Learning Signal Processing We present an intelligent wearable system to monitor and predict mood states of elderly people during their daily life activities. Our system is composed of a wristband to record different physiological activities together with a mobile app for ecological momentary assessment (EMA). Machine learning is used to train a classifier to automatically predict different mood states based on the smart band only. Our approach shows promising results on mood accuracy and provides results comparable with the state of the art in the specific detection of happiness and activeness. |
| title | Monitoring and Prediction of Mood in Elderly People during Daily Life Activities |
| topic | Machine Learning Signal Processing |
| url | https://arxiv.org/abs/2603.11230 |