Deep Learning Gait Recognition Method with Self-attention
In today’s era, gait recognition has received extensive attention due to its excellent anti-counterfeiting, accurate recognition effect and flexible application. The development of this recognition method has received great attention. The recognition of gait data by artificial intelligence algorithm is helpful to observe, predict and effectively use motion data. Currently, The computer vision recognition technology and radar-based limb motion recognition technology has been widely used for gait recognition. However, the existing technologies exhibit limitations in terms of recognition range and insufficient recognition accuracy. But there is an increasing demand for comprehensive and accurate gait recognition technology. Therefore, improving various indicators of gait recognition has become a rather popular and important research direction today.
Authors
- Zexing Du (ORCID: https://orcid.org/0000-0003-0954-2757)
- Dewen Zhao (ORCID: https://orcid.org/0000-0002-7622-9296)
Institutions
- Harbin Engineering University (CN)
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1109/icairc64177.2024.10900018
- Primary Topic
- Gait Recognition and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00