Neural network-based estimation of lower limb joint kinematics: A minimally intrusive approach for gait analysis

Author:

Kenas Farid,Saadia Nadia,Ababou Amina,Ababou Noureddine,Zabat Mahdi,BenSiSaid Karim

Publisher

Elsevier BV

Reference28 articles.

1. Artificial neural network and reduced set of sensors for kinematic gait analysis;Kenas,2019

2. Movement prediction for a lower limb exoskeleton using a conditional restricted Boltzmann machine;Chong;Robotica,2017

3. Robotic assisted gait as a tool for rehabilitation of individuals with spinal cord injury: a systematic review;Holanda;J NeuroEng RehabilJ,2017

4. Simultaneous recognition and assessment of post-stroke hemiparetic gait by fusing kinematic, kinetic, and electrophysiological data;Cui;IEEE Trans Neural Syst Rehabil Eng,2018

5. KAVAGait: knowledge-assisted visual analytics for clinical gait analysis;Wagner;IEEE Trans Visual Comput Graph,2018

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