TY - JOUR
T1 - On Automatic Assessment of Rehabilitation Exercises With Realtime Feedback
AU - Zhao, Wenbing
N1 - W. Zhao, "On automatic assessment of rehabilitation exercises with realtime feedback," in 2016 IEEE International Conference on Electro Information Technology (EIT), 2016, pp. 376-381.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Automatic realtime assessment of rehabilitation exercises is desirable for any human motion tracking system because it would enable patients to receive immediate and meaningful feedbacks on the rehabilitation exercises they perform at home without the supervision of medical professionals. Such systems could help engage patients in carrying out prescribed rehabilitation exercises for a speedy recovery, while reducing the cost of healthcare, and increasing the convenience of patients. In this paper, we propose an assessment method that aims to provide accurate and meaningful feedbacks to patients in realtime. The method is based on kinematic rules for each rehabilitation exercise, which is essential to provide specific feedbacks regarding the quality of an exercise. The feedbacks take the form of both numerical scores and categorical information for each repetition of the exercise. Numerical scores are determined by computing the similarity between the observed movements with respect to key configurations described in the kinematic rules. Categorical feedback is obtained using fuzzy inference based on numerical scores of individual configurations.
AB - Automatic realtime assessment of rehabilitation exercises is desirable for any human motion tracking system because it would enable patients to receive immediate and meaningful feedbacks on the rehabilitation exercises they perform at home without the supervision of medical professionals. Such systems could help engage patients in carrying out prescribed rehabilitation exercises for a speedy recovery, while reducing the cost of healthcare, and increasing the convenience of patients. In this paper, we propose an assessment method that aims to provide accurate and meaningful feedbacks to patients in realtime. The method is based on kinematic rules for each rehabilitation exercise, which is essential to provide specific feedbacks regarding the quality of an exercise. The feedbacks take the form of both numerical scores and categorical information for each repetition of the exercise. Numerical scores are determined by computing the similarity between the observed movements with respect to key configurations described in the kinematic rules. Categorical feedback is obtained using fuzzy inference based on numerical scores of individual configurations.
KW - Feedback
KW - Fuzzy Inference
KW - Human Motion Assessment
KW - Kinematic Rules
KW - Microsoft Kinect
KW - Rehabilitation Exercises
KW - Similarity
UR - https://engagedscholarship.csuohio.edu/enece_facpub/391
UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7535269queryText=on%20automatic%20assessment%20of%20rehabilitation%20exercises%20with%20realtime%20feedbaknewsearch=true
U2 - 10.1109/EIT.2016.7535269
DO - 10.1109/EIT.2016.7535269
M3 - Article
JO - 2016 IEEE International Conference on Electro Information Technology (EIT)
JF - 2016 IEEE International Conference on Electro Information Technology (EIT)
ER -