Human identification based on ECG signals from wearable health monitoring devices

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Ye, C (Author) Other; Kumar, BVKV (Author) Other; Coimbra, MT (Author) FCUP

Conference proceedings International

Title: ACM International Conference Proceeding Series

Pages: 25:1-25:5

4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL'11

Barcelona, 26 October 2011 through 29 October 2011

Indexing

ISI Web of Knowledge

Scopus - 11 Citations

Other information

Authenticus ID: P-008-2CA

DOI: 10.1145/2093698.2093723

Abstract (EN): Wearable health monitoring devices have been widely explored to enable continuous monitoring of physiological vital signals, such as electrocardiogram (ECG). In this work, we investigate the applicability of ECG signals from such wearable devices in human identification. In the 5-subject study we undertook, the proposed method exhibits near-100% recognition rates based on single heartbeats, even with a six-month interval between the training and testing data. This indicates that ECG signals can be used as robust biometrics and as an automatic login solution for such wearable health monitoring devices. © 2011 ACM.

Language: English

Type (Professor's evaluation): Scientific