Utilizing motion data retrieval techniques for person identification

Jing Fu Juang, Wei Guang Teng

研究成果: Conference contribution

摘要

Identifying a specific user is an old but challenging problem, and its applications are ubiquitous in our daily lives. Conventional person identification methods are using an ID card or the combination of a username and password. Recently, new techniques based on biometrics have been introduced so that people do not need to worry if they forget their username and password. For example, fingerprint and iris recognition are becoming common methods of person identification; however, users are usually required to interact with a system to use these traits. In some non-critical situations, it may be more convenient to utilize soft biometrics for person identification, although these features are not as unique for a specific person. In this work, we propose to conduct gait analysis that can be performed from a distance without disturbing user activities. We utilize depth cameras to capture user movements and create motion sequences. Then, a motion sequence is transformed to a motion string with appropriate data preprocessing and clustering techniques. Representative motion strings representing the individual behaviour of a user are retrieved and utilized to identify people. Empirical studies based on real motion data show that our approach performs well in person identification.

原文English
主出版物標題2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面188-192
頁數5
ISBN(電子)9781509034710
DOIs
出版狀態Published - 2016 十二月 30
事件2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA 2016 - Singapore, Singapore
持續時間: 2016 九月 282016 九月 30

出版系列

名字2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA 2016

Other

Other2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA 2016
國家Singapore
城市Singapore
期間16-09-2816-09-30

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Information Systems
  • Artificial Intelligence
  • Computer Science Applications

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  • 引用此

    Juang, J. F., & Teng, W. G. (2016). Utilizing motion data retrieval techniques for person identification. 於 2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA 2016 (頁 188-192). [7803016] (2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICKEA.2016.7803016