Yuya Fujita1, Masayuki Hiromoto, Takashi Sato
19:30 - 20:30 | Tue 6 Mar | Caribbean ABC | TuPO.12
In the HR estimation using cameras, choice of the image regions, at which the heart rate (HR) is calculated, is critically important as it greatly affects the estimation accuracy. In this work, a novel algorithm for HR estimation that uses adaptive region selection is proposed. The image regions that clearly contain pulse waveforms are quickly found by a region selector using a machine learning technique. The experimental results show that the proposed method achieves the absolute average error less than 1.1BPM with the processing time less than 0.6 s for a single HR estimation.