Key result
The proposed facial feature point-tracking method combining GFT and SDM achieved a mean error rate of 4.65% in heartbeat rate measurement, outperforming state-of-the-art methods.
Why the study?
Does the proposed GFT and SDM combined facial video tracking method improve heartbeat rate measurement accuracy compared to existing methods in realistic environments?
Does the proposed GFT and SDM combined facial video tracking method improve heartbeat rate measurement accuracy compared to existing methods in realistic environments?
Answers are grounded in this paper and cite their sources.
A novel facial video-based heartbeat rate measurement system combining GFT and SDM tracking with face quality assessment outperforms existing methods in realistic environments.
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.
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Haque et al. (2016) studied Heartbeat rate measurement (n=31). Facial feature point-tracking method combining GFT and SDM vs. State-of-the-art methods was evaluated on Mean error rate in heartbeat rate measurement on MAHNOB-HCI database. The proposed facial feature point-tracking method combining GFT and SDM achieved a mean error rate of 4.65% in heartbeat rate measurement, outperforming state-of-the-art methods.
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