Heart Rate Detection Using SVM Based on Video Imagery

According to the World Health Organization, death rate of cardiovascular diseases ranks first in composition disease deaths. Research shows that heart can be employed as an important physiological parameter measure health status people’s cardiac health. A pressure pulse is formed by periodic beating and contraction heart, so its signal have a distinct synchronous periodicity. Certain wavelengths light are known absorbed capillaries human skin, where this absorption fluctuates accordance with heartbeat capillary blood volume changes. Therefore, intensity reflected on skin surface changes periodically, manifested change color. dynamic target tracking algorithm was used for region interest (ROI) real time, approach multiple targets monitored simultaneously. Our uses Photoplethysmography (IPPG) imaging technology, conjunction ordinary camera capture subtle from skin. We then use Support Vector Machine (SVM) video image data. The results our research show information subjects detected quickly accurately even when monitoring targets.