Wearable Biometrics - Novel Paradigms for Automatic People Recognition
IEEE Signal Processing Society via YouTube
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Explore novel paradigms for automatic people recognition through wearable biometrics in this 57-minute webinar presented by Dr. Emanuele Maiorana from Roma Tre University. Delve into cutting-edge technologies and approaches that leverage wearable devices for biometric identification. Gain insights into the latest advancements in signal processing and information forensics as they apply to wearable biometrics. Discover how these innovative techniques are reshaping the landscape of automatic recognition systems and their potential applications in various fields. This webinar is part of the IEEE Signal Processing Society Information Forensics and Security Technical Committee Webinar Series, offering a comprehensive look at the intersection of wearable technology and biometric recognition.
Syllabus
Wearable Biometrics: Novel Paradigms for Automatic People Recognition
Taught by
IEEE Signal Processing Society