Heart Rate Detection Based on Facial Feature Points Tracking
In recent years, with the improvement of photographic equipment and computer’s computational efficiency, there are many non-contact heartbeat detection technologies based on image had been proposed. However, their performances are suffering from the influences under complex environment such as illumination changes, non-frontal face, and so on. In this paper proposed a non-contact heart rate detection through pulse. It using regression tree to located the feature points of facial, and tracked its trajectory. Then, separate blind source by use FastICA, select the appropriate channel for frequency domain analysis, and calculate heart rate. Experimental results showed that the error of the proposed method is about \( \pm 4 \) beats/min.
KeywordsNon-contact Heart rate Head oscillations FastICA
This work was financially supported by the Ministry of Science and Technology (under Grants 106-2221-E-224 -048 -MY3) and the “Intelligent Recognition Industry Service Center” from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan.
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