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• W2245133670 abstract "Heartbeat rate (HR) reveals a person's health. This article presents an effective system for measuring HR from facial videos acquired in a more realistic environment than current systems' testing environments. The proposed method uses a facial feature point-tracking method that combines a good feature to track method with a supervised descent method to overcome the limitations of currently available facial video-based HR measuring systems, including unrealistic restriction of the subject's movement and artificial lighting during data capture. A face quality assessment system is also incorporated to automatically discard low-quality faces that occur in a realistic video sequence to reduce erroneous results. The proposed method was comprehensively tested on the publicly available MAHNOB-HCI database and the authors' local dataset. Experimental results show that the proposed system outperforms existing video-based systems for HR measurement." @default.
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• W2245133670 date "2016-05-01" @default.
• W2245133670 modified "2023-10-04" @default.
• W2245133670 title "Heartbeat Rate Measurement from Facial Video" @default.
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• W2245133670 doi "https://doi.org/10.1109/mis.2016.20" @default.
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