Monitoring and Prediction of Mood in Elderly People during Daily Life Activities.
Annu Int Conf IEEE Eng Med Biol Soc
; 2019: 6930-6934, 2019 Jul.
Article
em En
| MEDLINE
| ID: mdl-31947433
ABSTRACT
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.
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MEDLINE
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Afeto
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Aplicativos Móveis
Tipo de estudo:
Prognostic_studies
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Risk_factors_studies
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article