Conference Paper

Monitoring and Prediction of Mood in Elderly People during Daily Life Activities

Conference Proceeding cp
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
  • Fecha: 01 July 2019
  • Páginas: 6930-6934
  • ISSN: 1557170X
  • ISBN: 9781538613115
  • Source Type: Conference Proceeding
  • DOI: 10.1109/EMBC.2019.8857847
  • Document Type: Conference Paper
  • Publisher: Institute of Electrical and Electronics Engineers Inc.
© 2019 IEEE.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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