학술논문
Non-contact Heart Rate Monitoring for Intensive Exercise Based on Singular Spectrum Analysis
Document Type
Conference
Author
Source
2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) MIPR Multimedia Information Processing and Retrieval (MIPR), 2019 IEEE Conference on. :228-233 Mar, 2019
Subject
Language
Abstract
Video based heart rate detection performs well for monitoring human in still or small motion case, such as patients. When targets are in intensive exercise, strong motion of heads will result in strong variation of light intensities reflection on faces. The strong variation introduced by motion are much stronger than the hidden weak heart rate signal in video. In this work, a framework is proposed to monitor the heart rate of human in intensive exercise with video camera. The Photoplethysmography (PPG) signal extracted from video is decomposed by singular spectrum analysis (SSA). And the motion information calculated from video is utilized to eliminate the frequency components caused by motion. Experimental results show that the proposed method could monitor human's heart rate in exercises accurately.