Validity of Microsoft Kinecttm for Measuring Gait Parameters

Validity of Microsoft Kinecttm for Measuring Gait Parameters Publisher

Kharazi MR^{1, 2} ; Memari AH² ; Shahrokhi A^{2, 3} ; Nabavi H³ ; Khorami S¹ ; Rasooli AH² ; Barnamei HR¹ ; Jamshidian AR⁴ ; Mirbagheri MM^{2, 3, 5}

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1. Rehabilitation and Sports Medicine Noorafshar Hospital, Tehran, Iran
2. Islamic Azad University of Science and Research Branch, School of Biomedical Engineering, Tehran, Iran
3. Department of Physical Medicine and Rehabilitation, Northwestern University, United States
4. Tehran University of Medical Sciences, School of Biomedical Engineering, Iran
5. Sheikhbahaee University, Mathematics and Computer Science Department, Baharestan, Isfahan, Iran

Source: 2015 22nd Iranian Conference on Biomedical Engineering# ICBME 2015 Published:2016

Abstract

The calculation of gait parameters requires motion tracking systems combined with force plates and EMG, which limits the measurement to laboratory settings. In recent studies, the possibility of using the portable, low cost, and markerless Microsoft KinectTM sensor to measure gait parameters on treadmill walking has been examined. The current study further examined the accuracy level of the KinectTM version 2 sensor for assessment of gait parameters during overground walking under different walking speeds versus Vicon system. Twenty-one healthy participants walked overground and a KinectTM sensor and a Vicon motion tracking system measured their full body kinematics data concurrently concurrently of Gait parameters like knee and hip joint angles were extracted from the two devices and were compared. The results showed that when using the Kinect sensor,the accuracy levels varied across the joint angles. The average r for ankle, knee and hip in both systems was 0.09, 0.95 and 0.98 respectively within all test and trials with 95% confidence interval.The average RMSE error for ankle,knee and hip was 22.03, 5.33 and 5.29 degrees respectively. We found a good agreement of kinect version 2 and Vicon system to track knee and hip joints. © 2015 IEEE.

Style	Citing Format
MLA	Kharazi MR, et al.. "Validity of Microsoft Kinecttm for Measuring Gait Parameters." 2015 22nd Iranian Conference on Biomedical Engineering# ICBME 2015, vol. , no. , 2016, pp. 375-379.
APA	Kharazi MR, Memari AH, Shahrokhi A, Nabavi H, Khorami S, Rasooli AH, Barnamei HR, Jamshidian AR, Mirbagheri MM (2016). Validity of Microsoft Kinecttm for Measuring Gait Parameters. 2015 22nd Iranian Conference on Biomedical Engineering# ICBME 2015, (), 375-379.
Chicago	Kharazi MR, Memari AH, Shahrokhi A, Nabavi H, Khorami S, Rasooli AH, Barnamei HR, Jamshidian AR, Mirbagheri MM. "Validity of Microsoft Kinecttm for Measuring Gait Parameters." 2015 22nd Iranian Conference on Biomedical Engineering# ICBME 2015 , no. (2016): 375-379.
Harvard	Kharazi MR et al. (2016) 'Validity of Microsoft Kinecttm for Measuring Gait Parameters', 2015 22nd Iranian Conference on Biomedical Engineering# ICBME 2015, (), pp. 375-379.
Vancouver	Kharazi MR, Memari AH, Shahrokhi A, Nabavi H, Khorami S, Rasooli AH, et al.. Validity of Microsoft Kinecttm for Measuring Gait Parameters. 2015 22nd Iranian Conference on Biomedical Engineering# ICBME 2015. 2016;():375-379.
BibTex	@article{ author = {Kharazi MR and Memari AH and Shahrokhi A and Nabavi H and Khorami S and Rasooli AH and Barnamei HR and Jamshidian AR and Mirbagheri MM}, title = {Validity of Microsoft Kinecttm for Measuring Gait Parameters}, journal = {2015 22nd Iranian Conference on Biomedical Engineering# ICBME 2015}, volume = {}, number = {}, pages = {375-379}, year = {2016} }
RIS	TY - JOUR AU - Kharazi MR AU - Memari AH AU - Shahrokhi A AU - Nabavi H AU - Khorami S AU - Rasooli AH AU - Barnamei HR AU - Jamshidian AR AU - Mirbagheri MM TI - Validity of Microsoft Kinecttm for Measuring Gait Parameters JO - 2015 22nd Iranian Conference on Biomedical Engineering# ICBME 2015 VL - IS - SP - 375 EP - 379 PY - 2016 ER -

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