BPNN-Based Real-Time Recognition of Locomotion Modes for an Active Pelvis Orthosis with Different Assistive Strategies

Cheng Gong, Dongfang Xu, Zhihao Zhou, N. Vitiello, Qining Wang
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引用次数: 9

Abstract

Real-time human intent recognition is important for controlling low-limb wearable robots. In this paper, to achieve continuous and precise recognition results on different terrains, we propose a re...
基于bpnn的主动骨盆矫形器不同辅助策略运动模式实时识别
实时的人类意图识别对于控制下肢可穿戴机器人是非常重要的。为了在不同的地形上获得连续、精确的识别结果,本文提出了一种新的方法。
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