Gait Recognition: A Comprehensive Review

Authors

  • Zhiming Wang

DOI:

https://doi.org/10.62051/ijcsit.v3n2.35

Keywords:

Gait Recognition, Biometric Identification, Machine Learning, Computer Vision, Human-Computer Interaction

Abstract

Gait recognition is an emerging biometric technology that identifies individuals based on their walking patterns. This review provides an in-depth examination of the latest developments in gait recognition, highlighting the techniques, challenges, and future directions of this field. By leveraging advancements in machine learning and computer vision, gait recognition has shown significant potential in various applications, including security, healthcare, and human-computer interaction.

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References

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Chao, H., He, Y., Zhang, J., & Feng, J. (2019). Gaitset: Regarding gait as a set for cross-view gait recognition. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 8126-8133.

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Published

19-07-2024

Issue

Section

Articles

How to Cite

Wang, Z. (2024). Gait Recognition: A Comprehensive Review. International Journal of Computer Science and Information Technology, 3(2), 331-335. https://doi.org/10.62051/ijcsit.v3n2.35