Key result
Radar-based continuous identity authentication using respiratory and heart-based dynamics offers a promising unobtrusive approach that avoids privacy concerns associated with video imaging.
Why the study?
Continuous identity authentication using physiological Doppler radar can reduce the vulnerability of traditional one-pass validation systems, but practical challenges remain.
Radar-based continuous identity authentication using physiological signals is a promising unobtrusive approach that requires further research for practical implementation.
Extends contactless vital signs monitoring to authentication; leaves open real-world validation before clinical use.
Non-contact vital signs monitoring using microwave Doppler radar has shown great promise in healthcare applications. Recently, this unobtrusive form of physiological sensing has also been gaining attention for its potential for continuous identity authentication, which can reduce the vulnerability of traditional one-pass validation authentication systems. Physiological Doppler radar is an attractive approach for continuous identity authentication as it requires neither contact nor line-of-sight and does not give rise to privacy concerns associated with video imaging. This paper presents a review of recent advances in radar-based identity authentication systems. It includes an evaluation of the applicability of different research efforts in authentication using respiratory patterns and heart-based dynamics. It also identifies aspects of future research required to address remaining challenges in applying unobtrusive respiration-based or heart-based identity authentication to practical systems. With the advancement of machine learning and artificial intelligence, radar-based continuous authentication can grow to serve a wide range of valuable functions in society.
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Islam et al. (2020) conducted a review in Identity authentication. Radar-based continuous identity authentication was evaluated. Radar-based continuous identity authentication using respiratory and heart-based dynamics offers a promising unobtrusive approach that avoids privacy concerns associated with video imaging.
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