Biometric recognition using wearable sensors detecting heart activity

#Biometrics #Wearable #Sensors #Heart #Activity
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Lecture given at the International summer school on wearable sensors - 2nd edition
Università Campus Bio-Medico di Roma - 09-11 July 2025

co-sponsored by the CH08648 - Italy Section Chapter, BIO46

Thanks to their ability to monitor physical activity and health-related parameters, wearable devices are becoming nowadays more and more popular. In addition to what they already offer, an interesting capability achievable through such devices is biometric recognition. The physiological traits recorded by wearable devices may in fact possess distinctive properties which could allow to recognize their legitimate users, and detect unauthorized usage. In this talk, we will discuss the most recent advances accomplished in this field, focusing on the use of signals associated with heart activity, such as photoplethysmography (PPG) and seismocardiography (SCG).



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  • Università Campus Bio-Medico di Roma
  • Rome, Lazio
  • Italy

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  Speakers

Emanuele Maiorana of Roma Tre University

Biography:

Emanuele Maiorana received the Laurea Degree cum laude in Electronics Engineering from Roma Tre University, Rome, Italy, in May 2004, and his Ph.D. degree with European Doctorate Label in April, 2009 with the thesis entitled “Biometric Template Protection for Signature-Based Authentication Systems”. Since November 2020 he works as Assistant Professor at the Department of Engineering of Roma Tre University, Rome, Italy.

He was a visiting researcher at the “Universidad Autonoma de Madrid”, Madrid, Spain, in 2007 and 2008, at the “Universidad de Vigo”, Vigo, Spain, in 2010, at the “University of Warwick”, Coventry, UK, in 2012, at the “Ecole Polytechnique de Nantes”, Nantes, France, in 2013, and at the “University of Twente”, Twente, The Netherlands, in 2013.

He was the General Chair of the IAPR TC4 Workshop on Mobile and Wearable Biometrics (WMWB) 2021, and of the 9th IEEE International Workshop on Biometrics and Forensics (IWBF) 2021.

He was the recipient of the Lockheed Martin Best Paper Award for the Poster Track at the IEEE Biometric Symposium 2007, and of the Honeywell Student Best Paper Award at the IEEE Biometrics: Theory, Applications and Systems conference 2008.

His research interests are in the area of digital signal and image processing with applications to multimedia communications and security of telecommunication systems. Specifically, he has been working on biometric recognition and protection of biometric templates, high dynamic range images imaging and watermarking, synthesis of video textures, and stereo image analysis and enhancement.

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