Abstract
Heart rate (HR) estimation is an essential physiological process in the field of biosignal analysis. Recently, remote Photoplethysmography (rPPG) is a pathbreaking development in this field wherein the PPG signal is extracted from non-contact face videos. This study, aiming at building a low cost rPPG system for both heart rate estimation and detecting real face, proposes a non-contact, automatic technique of heart rate measurement from video based on the signal processing techniques. The heart rate is remotely measured from a video recording of a person's face using the camera from a smartphone. At the same time, the heart rate extracted from the videos recorded by a smartphone camera is compared with the data obtained from the PPG optical absorption sensor and achieved a similar result. The system can estimate the heart rates from faces from single subject or multiple participants, and can be applied for anti spoofing face recognition.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.