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YOLO-LG: An enhanced gesture recognition model with multi-scale feature fusion and large kernel attention for cognitive impairment patients

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成果类型:
期刊论文
作者:
Xiong, Bing;Ma, Qitong;Zhang, Yuhang;Zhao, Qiaozhen;Hu, Wanling;...
通讯作者:
Zhao, QZ
作者机构:
[Ma, Qitong; Xiong, Bing; Zhang, Yuhang] Changsha Univ Sci & Technol, Sch Comp Sci & Technol, Changsha 410076, Peoples R China.
[Chen, Lizao; Hu, Wanling; Zhao, Qiaozhen] Changsha Cent Hosp, Rehabil Dept, Changsha 410004, Peoples R China.
[Li, Wenjia] New York Inst Technol, Dept Comp Sci, New York, NY 10023 USA.
[Ye, Conghuan] Hubei Univ Econ, Sch Informat Engn, Wuhan 430205, Peoples R China.
通讯机构:
[Zhao, QZ ] C
Changsha Cent Hosp, Rehabil Dept, Changsha 410004, Peoples R China.
语种:
英文
关键词:
Patient gesture recognition;Rehabilitation medicine;Feature fusion mechanism;Cognitive impairment;Gathering and distribution
期刊:
Biomedical Signal Processing and Control
ISSN:
1746-8094
年:
2026
卷:
111
页码:
108290
基金类别:
Hunan Provincial Natural Science Foundation of China [2023JJ30053]; Scientific Research Fund of Hunan Provincial Education Department [22A0232]
机构署名:
本校为第一机构
摘要:
As for patients with cognitive impairments, it is vital to accurately identify their hand gestures for both the assessment and rehabilitation of their cognitive function. In recent years, computer vision has gradually been applied to hand gesture recognition. However, it is still challenging to accurately recognize gestures in complex environments, due to insufficient fusion of global and local semantic information, and dynamic hand gestures. To address these problems, this paper proposes a novel gesture recognition model based on the You Only Look Once (YOLO) architecture for patients with co...

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