Biometric identification using shoulder-based PPG sensor

Biometric identification using shoulder-based PPG sensor

In this paper we describe a low-power IoT wearable biometric authentication device that uses PPG (photoplethysmography) data to create a biometric authentication system. We describe the challenges that are involved in measurement of PPG signals, processing and classification on an embedded device wh...

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Bibliographic Details
Published in:2022 14th International Conference on Advanced Semiconductor Devices and Microsystems (ASDAM) pp. 1 - 4
Main Authors: Zavodnik, T., Cernaj, L., Gasparek, K., Micjan, M., Donoval, M.
Format: Conference Proceeding
Language:English
Published: IEEE 23-10-2022
Subjects:
Authentication
Biometrics (access control)
Semiconductor device measurement
Semiconductor devices
Signal processing
Signal processing algorithms
Wearable computers
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Description
Summary:In this paper we describe a low-power IoT wearable biometric authentication device that uses PPG (photoplethysmography) data to create a biometric authentication system. We describe the challenges that are involved in measurement of PPG signals, processing and classification on an embedded device while using the lowest amount of energy possible to maximize battery life.
ISBN:1665469773
9781665469777
ISSN:2474-9737
DOI:10.1109/ASDAM55965.2022.9966753