TY - JOUR
T1 - Evolutionary Optimization of User Intent Recognition for Transfemoral Amputees
AU - Khademi, Gholamreza
AU - Mohammadi, Hanieh
AU - Simon, Daniel J.
AU - Hardin, Elizabeth C.
N1 - G. Khademi, H. Mohammadi, D. Simon and E. C. Hardin, "Evolutionary optimization of user intent recognition for transfemoral amputees," in Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE, 2015, pp. 1-4.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Lower-limb prosthetic legs help amputees regain their walking ability. User intent recognition is utilized to infer human gait mode (fast walk, slow walk, etc.) so the controller can be adjusted depending on the detected gait mode. In this paper, mechanical sensor data is collected from an able-bodied subject and used for user intent recognition. Feature extraction, principal component analysis, correlation analysis, and K-nearest neighbor methods are used, modified, and optimized with an evolutionary algorithm for improved performance. The optimized system successfully classifies four different walking modes with an accuracy of 96%.
AB - Lower-limb prosthetic legs help amputees regain their walking ability. User intent recognition is utilized to infer human gait mode (fast walk, slow walk, etc.) so the controller can be adjusted depending on the detected gait mode. In this paper, mechanical sensor data is collected from an able-bodied subject and used for user intent recognition. Feature extraction, principal component analysis, correlation analysis, and K-nearest neighbor methods are used, modified, and optimized with an evolutionary algorithm for improved performance. The optimized system successfully classifies four different walking modes with an accuracy of 96%.
KW - user intent recognition; lower - limb prosthesis ; evolutionary algorithm ; K nearest neighbor
UR - https://engagedscholarship.csuohio.edu/enece_facpub/330
UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=arnumber=7348280contentType=Conference+Publications
U2 - 10.1109/BioCAS.2015.7348280
DO - 10.1109/BioCAS.2015.7348280
M3 - Article
JO - Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE
JF - Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE
ER -