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

ArXi:2603.11230v1 Announce Type: new 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.