Gait Assessment using the Kinect RGB-D Sensor. Zhao, J., Bunn, F. E., Perron, J. M., Shen, E., & Allison, R. S. In 37th Annual IEEE Engineering in Medicine and Biology Conference, pages 6679 - 6683, August 25-29 2015, 2015. ![Gait Assessment using the Kinect RGB-D Sensor [link]](https://bibbase.org/img/filetypes/link.svg "link")
-1 doi abstract bibtex 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.
@inproceedings{Zhao:ve,
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.},
annote = {
37th Annual International Conference of the
IEEE Engineering in Medicine and Biology Society
MiCo - Milano Conference Center - Milan, Italy, August 25-29 2015
},
author = {Zhao, J. and Bunn, F. E. and Perron, J. M. and Shen, E. and Allison, R. S.},
booktitle = {37th Annual {IEEE} Engineering in Medicine and Biology Conference},
date-added = {2015-06-14 15:26:59 +0000},
date-modified = {2015-11-17 12:37:57 +0000},
doi = {10.1109/EMBC.2015.7319925},
keywords = {Optic flow & Self Motion (also Locomotion & Aviation)},
month = {August 25-29 2015},
pages = {6679 - 6683},
title = {Gait Assessment using the Kinect {RGB-D} Sensor},
url-1 = {http://dx.doi.org/10.1109/EMBC.2015.7319925},
year = {2015},
url-1 = {https://doi.org/10.1109/EMBC.2015.7319925}}
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