The heartbeat signal, which is one of the physiological signals, is of great importance in many real-world applications, for example, in patient monitoring and biometric recognition. The traditional methods for measuring such this signal use contact-based sensors that need to be installed on the subject’s body. Though it might be possible to use touch-based sensors in applications like patient monitoring, it won’t be that easy to use them in identification and forensics applications, espe- cially if subjects are not cooperative. To deal with this problem, recently computer vision techniques have been developed for contact-free extraction of the heartbeat signal. We have recently used the contact-free measured heartbeat signal, for bio- metric recognition, and have obtained promising results, indicating the importance of these signals for biometrics recognition and also for forensics applications. The importance of heartbeat signal, its contact-based and contact-free extraction meth- ods, and the results of its employment for identification purposes, including our very recent achievements, are reviewed in this paper.
|Title of host publication||Handbook of Biometrics for Forensic Science|
|Editors||Massimo Tistarelli, Christophe Champod|
|Publication status||Published - 2017|
|Series||Advances in Computer Vision and Pattern Recognition|