Key result
ECG-based user authentication using short-time Fourier transform enables biometric identification for stand-alone wearable sensors using a single-pulse ECG.
The study explores ECG-based user authentication for stand-alone wearable devices using short time Fourier transform.
May enable secure single-pulse ECG authentication in wearables; leaves open real-world validation and integration.
Electrocardiogram (ECG) is a promising biometric. There has been much research on ECG based user authentication and identification, but there have been few works to investigate ECG biometrics for stand-alone wearable ECG sensors, for quick response time using a single pulse ECG, and for small wearable devices that may have limited access to others' ECG information.
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Chun et al. (2016) studied this question. ECG-based user authentication using short-time Fourier transform enables biometric identification for stand-alone wearable sensors using a single-pulse ECG.
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