Predicting Continuous Locomotion Modes via Multidimensional Feature Learning from sEMG

no code implementations • 13 Nov 2023 • Peiwen Fu, Wenjuan Zhong, Yuyang Zhang, Wenxuan Xiong, Yuzhou Lin, Yanlong Tai, Lin Meng, Mingming Zhang

This term refers to the duration during which consistent and accurate predictions of mode transitions are made, measured from the time of the fifth correct prediction to the occurrence of the critical event leading to the task transition.

Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG

no code implementations • 25 Jul 2023 • Xueming Fu, Hao Zheng, Luyan Liu, Wenjuan Zhong, Haowen Liu, Wenxuan Xiong, Yuyang Zhang, Yifeng Chen, Dong Wei, Mingjie Dong, Yefeng Zheng, Mingming Zhang

This paper proposes a model integrating two gait cycle-inspired learning strategies to mitigate the challenge for predicting human knee joint trajectory.