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Multi-Day Analysis of Wrist Electromyogram-Based Biometrics for Authentication and Personal Identification

  • Published:2023-10 Issue:4 Volume:5 Page:553-565
  • ISSN:2637-6407
  • Container-title:IEEE Transactions on Biometrics, Behavior, and Identity Science
  • language:
  • Short-container-title:IEEE Trans. Biom. Behav. Identity Sci.

Author:

Pradhan Ashirbad1ORCID,He Jiayuan2ORCID,Lee Hyowon1,Jiang Ning2ORCID

Affiliation:

1. Department of Systems Design Engineering, Engineering Bionics Lab, Faculty of Engineering, University of Waterloo, Waterloo, Canada

2. National Clinical Research Center for Geriatrics, West China Hospital, Med-X Center for Manufacturing, Sichuan University, Chengdu, China

Funder

Natural Sciences and Engineering Research Council of Canada

National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University

Med-X Center for Manufacturing, Sichuan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Instrumentation

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Biometric Authentication from sEMG: Assessing the Potential of Adaptive Chirp Mode Decomposition;2023 IEEE International Carnahan Conference on Security Technology (ICCST);2023-10-11
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