DocumentCode :
3685475
Title :
Gait assessment using the Kinect RGB-D sensor
Author :
Jingbo Zhao;Frank E. Bunn;Jacob M. Perron;Edward Shen;Robert S. Allison
Author_Institution :
Department of Electrical Engineering and Computer Science, York University, Toronto, Canada
fYear :
2015
Firstpage :
6679
Lastpage :
6683
Abstract :
Patients with concussions, strokes and neuromuscular disease such as Parkinson´s disease, often have difficulties in keeping balance and suffer from abnormal gaits. Gait assessment conducted by a physician or therapist in clinics is standard clinical practice for assessing such injuries. However, this approach is subjective, leading to potential problems of unrepeatability, poor sensitivity and unreliability. To conduct the assessment in an objective way, a computer-based gait assessment system is designed and presented in this paper. The system performs assessments on dynamic balance and gaits by analyzing the skeleton frames of a subject captured by the Microsoft Kinect RGB-D sensor. Results show that the proposed system effectively scores subjects.
Keywords :
"Foot","Legged locomotion","Turning","Feature extraction","Skeleton","Wrist","Reliability"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7319925
Filename :
7319925
Link To Document :
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