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Conference Paper
Effective Methods to extract PPG Signals from Face Using Stochastic State Space Modeling Approach
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- Authors
- Chan-kyu Park, Ho-jin Choi
- Issue Date
- 2015-10
- Citation
- International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2015, pp.172-173
- Language
- English
- Type
- Conference Paper
- Project Code
- 15MC2100, Development of emotional feature information sensing and diagnostics and distribution s/w platform for diagnostics of potential power(multiple intelli, Yoon Ho Sub
- Abstract
- 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.
- KSP Keywords
- Computing environment, Contact Sensors, Heart rate, Mobile computing, Modeling Approach, Motion artifact, Non-contact, PPG signal, Service robots, Subspace system identification, System identification(SI)