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Contact-Free Heartbeat Signal for Human Identification and Forensics

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Handbook of Biometrics for Forensic Science

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

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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.

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Author information

Authors and Affiliations

  1. Visual Analysis of People (VAP) Laboratory, Aalborg University, Aalborg, Denmark

    Kamal Nasrollahi, Mohammad A. Haque, Ramin Irani & Thomas B. Moeslund

Authors
  1. Kamal Nasrollahi
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  2. Mohammad A. Haque
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  3. Ramin Irani
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  4. Thomas B. Moeslund
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Corresponding author

Correspondence to Mohammad A. Haque .

Editor information

Editors and Affiliations

  1. University of Sassari, Alghero, Sassari, Italy

    Massimo Tistarelli

  2. University of Lausanne, Lausanne, Switzerland

    Christophe Champod

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Nasrollahi, K., Haque, M.A., Irani, R., Moeslund, T.B. (2017). Contact-Free Heartbeat Signal for Human Identification and Forensics. In: Tistarelli, M., Champod, C. (eds) Handbook of Biometrics for Forensic Science. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-319-50673-9_13

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  • DOI: https://doi.org/10.1007/978-3-319-50673-9_13

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  • Online ISBN: 978-3-319-50673-9

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