It is a process of sampling signals that measure real world physical conditions and converting the resulting samples into digital numeric values that can be manipulated by a computer. Data acquisition systems, abbreviated by the acronyms DAS or DAQ, typically convert analog waveforms into digital values for processing. The components of data acquisition systems include: Sensors converts physical parameters to electrical signals. Signal conditioning circuitry converts sensor signals into a form that can be converted to digital values. Analog-to-digital converters convert conditioned sensor signals to digital values.
Published in Chapter:
Real-Time ECG-Based Biometric Authentication System
Jagannath Mohan (VIT Chennai, India), Adalarasu Kanagasabai (SASTRA University (Deemed), India), and Vetrivelan Pandu (VIT Chennai, India)
Copyright: © 2019
|Pages: 15
DOI: 10.4018/978-1-5225-8241-0.ch015
Abstract
Security plays an important role in present day situation where identity fraud and terrorism pose a great threat. Recognizing human using computers or any artificial systems not only affords some efficient security outcomes but also facilitates human services, especially in the zone of conflict. In the recent decade, the demand for improvement in security for personal data storage has grown rapidly, and among the potential alternatives, it is one that employs innovative biometric identification techniques. Amongst these behavioral biometric techniques, the electrocardiogram (ECG) is being chosen as a physiological modality due to the uniqueness of its characteristics which integrates liveness detection, significantly preventing spoof attacks. The chapter discusses the overview of existing preprocessing, feature extraction, and classification methods for ECG-based biometric authentication. The proposed system is intended to develop applications for real-time authentication.