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학술대회 Effective Methods to extract PPG Signals from Face Using Stochastic State Space Modeling Approach
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저자
박찬규, 최호진
발행일
201510
출처
International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2015, pp.172-173
DOI
https://dx.doi.org/10.1109/URAI.2015.7358857
협약과제
15MC2100, 잠재 역량 진단을 위한 감정특이점 기반 맞춤형 인지센싱 및 플랫폼 기술개발, 윤호섭
초록
The Photoplethymography(PPG) which means heart-rate pulsation is generally measured on a finger or an ear using contact sensors. The recent several studies using web-cam to measure PPG have been introduced under the desktop or mobile computing environment including service robot. However the motion artifact issue is also emerging in non-contact camera sensing similar to contact-type one because it is sensitive to artifacts generated by subject's head and body motion. In this paper, The effective methods to extract PPG signals from face is introduced by stochastic state space modeling(SSM) approach and its system parameters are estimated by subspace system identification.
키워드
motion artifact, PPG, state space model
KSP 제안 키워드
Computing environment, Contact Sensors, Heart rate, Mobile computing, Modeling Approach, Motion artifact, Non-contact, PPG signal, Service robots, Subspace system identification, System identification(SI)