Video-based activity and movement pattern analysis in overnight sleep studies

We present a non-contact monitoring system to measure the quality of sleep using near-infrared video in this paper. We envision a smart home environment in which a processing module can be installed in the bedroom to record and monitor sleep in a noninvasive manner. We describe the procedure adopted to infer motion information and discuss the method for estimating wake/sleep status from the acquired video. Performance of the proposed system was evaluated through comparison with simultaneous recordings of actigraph and polysomnography (PSG) data.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Wen-Hung Liao, Chien-Ming Yang
• Keywords: Computer Vision, ICPR 2008, Near-infrared Video, Non-contact Monitoring, Smart Home Environment