Intent Recognition in a Powered Lower Limb Prosthesis Using Time History Information

2013 ◽  
Vol 42 (3) ◽  
pp. 631-641 ◽  
Author(s):  
Aaron J. Young ◽  
Ann M. Simon ◽  
Nicholas P. Fey ◽  
Levi J. Hargrove
Keyword(s):  
Lower Limb ◽  
Time History ◽  
Intent Recognition ◽  
History Information ◽  
Lower Limb Prosthesis ◽  
Limb Prosthesis ◽  
Powered Lower Limb Prosthesis

scholarly journals Noninvasive Human-Prosthesis Interfaces for Locomotion Intent Recognition: A Review

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Dongfang Xu ◽  
Qining Wang
Keyword(s):  
Lower Limb ◽  
Control Strategies ◽  
Recognition Task ◽  
Intent Recognition ◽  
Mode Recognition ◽  
Lower Limb Prosthesis ◽  
Gait Phase ◽  
Robotic Prosthesis ◽  
Limb Prosthesis

The lower-limb robotic prostheses can provide assistance for amputees’ daily activities by restoring the biomechanical functions of missing limb(s). To set proper control strategies and develop the corresponding controller for robotic prosthesis, a prosthesis user’s intent must be acquired in time, which is still a major challenge and has attracted intensive attentions. This work focuses on the robotic prosthesis user’s locomotion intent recognition based on the noninvasive sensing methods from the recognition task perspective (locomotion mode recognition, gait event detection, and continuous gait phase estimation) and reviews the state-of-the-art intent recognition techniques in a lower-limb prosthesis scope. The current research status, including recognition approach, progress, challenges, and future prospects in the human’s intent recognition, has been reviewed. In particular for the recognition approach, the paper analyzes the recent studies and discusses the role of each element in locomotion intent recognition. This work summarizes the existing research results and problems and contributes a general framework for the intent recognition based on lower-limb prosthesis.

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