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Contact-Free Heartbeat Signal for Human Identification and Forensics

  • Kamal Nasrollahi
  • Mohammad A. Haque
  • Ramin Irani
  • Thomas B. Moeslund
Chapter
Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Abstract

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 will not be that easy to use them in identification and forensics applications, especially 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 biometric 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 methods, and the results of its employment for identification purposes, including our very recent achievements, are reviewed in this chapter.

Keywords

Autism Spectrum Disorder Discrete Cosine Transform Independent Component Analysis Fiducial Point Computer Vision Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Kamal Nasrollahi
    • 1
  • Mohammad A. Haque
    • 1
  • Ramin Irani
    • 1
  • Thomas B. Moeslund
    • 1
  1. 1.Visual Analysis of People (VAP) LaboratoryAalborg UniversityAalborgDenmark

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