DocumentCode
2681376
Title
Human walking model predicts joint mechanics, electromyography and mechanical economy
Author
Endo, Ken ; Herr, Hugh
Author_Institution
Biomechatronics Group, Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear
2009
fDate
10-15 Oct. 2009
Firstpage
4663
Lastpage
4668
Abstract
In this paper, we present an under-actuated model of human walking, comprising only a soleus muscle and flexion/extension monoarticular hip muscles. The remaining muscle groups of the human leg are modeled using quasi-passive, series-elastic clutch elements. We hypothesize that series-elastic clutch units spanning the knee joint in a musculoskeletal arrangement can capture the dominant mechanical behaviors of the human knee in level-ground walking. As an evaluation of the musculoskeletal model, we vary model parameters, or spring constants, and muscle control parameters using an optimization scheme that maximizes walking distance and minimizes the mechanical economy of walking. We used a positive force feedback reflex control for the model´s soleus muscle, and upper body position control for the hip muscles. The model´s clutches were engaged/disengaged using simple state machine controllers. For model evaluation, a forward dynamics simulation was conducted, and the resulting mechanics were compared to human walking data. The model makes qualitative predictions of joint mechanics, electromyography and mechanical economy.
Keywords
biomechanics; electromyography; force control; force feedback; prosthetics; electromyography; flexion/extension monoarticular hip muscles; forward dynamics simulation; human knee; human walking model; joint mechanics; level-ground walking; mechanical behaviors; mechanical economy; muscle control parameters; musculoskeletal arrangement; musculoskeletal model; positive force feedback reflex control; series-elastic clutch elements; soleus muscle; under-actuated model; Biological system modeling; Electromyography; Hip; Humans; Knee; Leg; Legged locomotion; Muscles; Musculoskeletal system; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location
St. Louis, MO
Print_ISBN
978-1-4244-3803-7
Electronic_ISBN
978-1-4244-3804-4
Type
conf
DOI
10.1109/IROS.2009.5354230
Filename
5354230
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