A visual context-awareness-based sleeping-respiration measurement system.
Due to the rapid growth of the elderly population, improving specific aspects of elderly healthcare has become more important. Sleeping care systems for the elderly are rare. In this paper, we propose a visual context-aware-based sleeping-respiration measurement system that measures the respiration information of elderly sleepers. Accurate respiration measurement requires considering all possible contexts for the sleeping person. The proposed system consists of a body-motion-context-detection subsystem, a respiration-context-detection subsystem, and a fast motion-vector-estimation-based respiration measurement subsystem. The system yielded accurate respiratory measurements for our study population.
Kuo
Yung-Ming
YM
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan. ymkuo@ee.ncku.edu.tw
Lee
Jiann-Shu
JS
Chung
Pau-Choo Julia
PC
D000328:Adult; D000465:Algorithms; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007259:Infrared Rays; D008297:Male; D008390:Markov Chains; D008875:Middle Aged; D008991:Monitoring, Physiologic / Q000295:instrumentation / Q000379:methods; D009068:Movement / Q000502:physiology; D056152:Respiratory Rate / Q000502:physiology*; D012890:Sleep; D013686:Telemetry / Q000379:methods; D014741:Video Recording / Q000295:instrumentation