Emergency psychiatric state prediction for ambient assisted living

Mental healthcare can be the smart home service for ambient assisted living. In this paper, a web of objects embedded smart home architecture is presented for mental healthcare. Patients' psychiatric symptoms are collected through lightweight bio-sensors and web based psychiatric screening scales and then analyzed using machine learning algorithms.