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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 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.
Original languageEnglish
Title of host publicationHandbook of Biometrics for Forensic Science
EditorsMassimo Tistarelli, Christophe Champod
PublisherSpringer
Publication date2017
Pages289-302
ISBN (Print)978-3-319-50671-5
ISBN (Electronic)978-3-319-50673-9
DOIs
Publication statusPublished - 2017
SeriesAdvances in Computer Vision and Pattern Recognition
ISSN2191-6586

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Patient monitoring
Biometrics
Sensors
Computer vision

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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 M. Tistarelli, & C. Champod (Eds.), Handbook of Biometrics for Forensic Science (pp. 289-302). Springer. Advances in Computer Vision and Pattern Recognition https://doi.org/10.1007/978-3-319-50673-9_13
Nasrollahi, Kamal ; Haque, Mohammad Ahsanul ; Irani, Ramin ; Moeslund, Thomas B. / Contact-Free Heartbeat Signal for Human Identification and Forensics. Handbook of Biometrics for Forensic Science. editor / Massimo Tistarelli ; Christophe Champod. Springer, 2017. pp. 289-302 (Advances in Computer Vision and Pattern Recognition).
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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 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.",
author = "Kamal Nasrollahi and Haque, {Mohammad Ahsanul} and Ramin Irani and Moeslund, {Thomas B.}",
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Nasrollahi, K, Haque, MA, Irani, R & Moeslund, TB 2017, Contact-Free Heartbeat Signal for Human Identification and Forensics. in M Tistarelli & C Champod (eds), Handbook of Biometrics for Forensic Science. Springer, Advances in Computer Vision and Pattern Recognition, pp. 289-302. https://doi.org/10.1007/978-3-319-50673-9_13

Contact-Free Heartbeat Signal for Human Identification and Forensics. / Nasrollahi, Kamal; Haque, Mohammad Ahsanul; Irani, Ramin; Moeslund, Thomas B.

Handbook of Biometrics for Forensic Science. ed. / Massimo Tistarelli; Christophe Champod. Springer, 2017. p. 289-302 (Advances in Computer Vision and Pattern Recognition).

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearchpeer-review

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N2 - 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.

AB - 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.

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Nasrollahi K, Haque MA, Irani R, Moeslund TB. Contact-Free Heartbeat Signal for Human Identification and Forensics. In Tistarelli M, Champod C, editors, Handbook of Biometrics for Forensic Science. Springer. 2017. p. 289-302. (Advances in Computer Vision and Pattern Recognition). https://doi.org/10.1007/978-3-319-50673-9_13