IPTGNet: an adaptive multi-task recognition strategy for human locomotion modes.

IF 1.7 4区医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-04-04 DOI:10.1080/10255842.2025.2485366

Jing Tang, Lun Zhao, Minghu Wu, Zequan Jiang, Min Liu, Fan Zhang, Sheng Hu

引用次数: 0

Abstract

Complexities in processing human motion are possessed by lower limb exoskeletons. In this paper, a multi-task recognition model, IPTGNet, is proposed for the human locomotion modes. Temporal convolutional network and gated recurrent unit are parallelly fused through the dynamic tuning of hyperparameters using the improved particle swarm optimization algorithm. The experimental results demonstrate that faster and more stable convergence is achieved by IPTGNet with a recognition rate of 99.47% and a standard deviation of 0.42%. Furthermore, a finite state machine is utilized for incorrection of transition states. An innovative multi-task recognition of lower limb exoskeleton is provided by this paper.

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IPTGNet：针对人类运动模式的自适应多任务识别策略。

下肢外骨骼具有处理人体运动的复杂性。本文提出了一种针对人体运动模式的多任务识别模型IPTGNet。采用改进的粒子群优化算法，通过超参数动态调整，将时域卷积网络与门控循环单元并行融合。实验结果表明，IPTGNet的收敛速度更快、更稳定，识别率为99.47%，标准差为0.42%。此外，利用有限状态机对过渡状态进行校正。提出了一种新颖的下肢外骨骼多任务识别方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Methods in Biomechanics and Biomedical Engineering 工程技术-工程：生物医学

CiteScore

4.10

自引率

6.20%

发文量

179

审稿时长

4-8 weeks

期刊介绍： The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.