Research Article
Research on Non-contact Heart Rate Detection Algorithm
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@INPROCEEDINGS{10.1007/978-3-319-73447-7_35, author={Chenguang He and Yuwei Cui and Shouming Wei}, title={Research on Non-contact Heart Rate Detection Algorithm}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Photoplethysmography Non-contact Independent component analysis}, doi={10.1007/978-3-319-73447-7_35} }
- Chenguang He
Yuwei Cui
Shouming Wei
Year: 2018
Research on Non-contact Heart Rate Detection Algorithm
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_35
Abstract
The heart rate is one of the important characteristic of human health. Fast and convenient heart rate measurement has become one aspect of daily life. The non-contact measurement method of heart rate gathers information of face via color video camera, analyzes the change of displacement of the surface of the skin and body color, then uses the methods such as filtering, spectrum analyze and peak detection to analysis the heart rate quantitatively. What’s more, we study a non-contact method to detect the implementation of the heart rate based on the video acquisition, image processing and signal processing technology. We have done a thorough study of the implementation framework of the non-contact measurement of heart rate.
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