A Study on Gait-Based Gender Classification

Author:

Shiqi Yu ,Tieniu Tan ,Kaiqi Huang ,Kui Jia ,Xinyu Wu

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 174 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. Gait Attribute Recognition: A New Benchmark for Learning Richer Attributes From Human Gait Patterns;IEEE Transactions on Information Forensics and Security;2024

2. Should they? Mobile Biometrics and Technopolicy Meet Queer Community Considerations;Equity and Access in Algorithms, Mechanisms, and Optimization;2023-10-30

3. Classification of Human Gender Through Machine Learning Analysis of Gait;2023 International Seminar on Intelligent Technology and Its Applications (ISITIA);2023-07-26

4. A Multi-Activity Fusion Approach for Gender Recognition based on Human Activity;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

5. Frequency Based Gait Gender Identification;2023 8th International Conference on Signal and Image Processing (ICSIP);2023-07-08

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