Key result
Activity-aware ECG biometric verification improves identity authentication across varying physical and emotional states.
Why the study?
Despite efforts to develop ECG-based biometric verification modalities using wearable devices, whether adaptive techniques based on prior activity classification can enhance biometric performance remained to be explored.
An activity-aware approach to ECG-based biometric verification may improve the reliability of authentication across different wearable and medical devices.
Answers are grounded in this paper and cite their sources.
May enhance ECG biometric reliability across wearables and devices without extra sensors; leaves open generalizability beyond tested datasets.
Activity classification and biometric authentication have become synonymous with wearable technologies such as smartwatches and trackers. Although great efforts have been made to develop electrocardiogram (ECG)‐based biometric verification and identification modalities using data from these devices, in this paper, we explore the use of adaptive techniques based on prior activity classification in an attempt to enhance biometric performance. In doing so, we also compare two waveform similarity distances to provide features for classification. Two public datasets which were collected from medical and wearable devices provide a cross‐device comparison. Our results show that our method is able to be used for both wearable and medical devices in activity classification and biometric verification cases. This study is the first study which uses only ECG signals for both activity classification and biometric verification purposes.
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Yeşilkaya et al. (2022) studied Healthy (Biometric verification) (n=28). Activity-aware electrocardiogram biometric verification vs. Activity-unaware biometric verification (System A) was evaluated on Biometric verification performance. An activity-aware electrocardiogram biometric verification system utilizing Manhattan and Euclidean distances for feature extraction was developed to adapt to different physical and emotional states.
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