Optimization of a markerless gait analysis application aimed at orthopedic care for developing countries

Sagda E. K. Osman; Guy C. Hembroff; Marcos Almeida Matos

doi:10.1109/ICCCEEE.2018.8515777

Optimization of a markerless gait analysis application aimed at orthopedic care for developing countries

Sagda E. K. Osman, Guy C. Hembroff, Marcos Almeida Matos

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

1 Citation (Scopus)

Abstract

In this work, a low-budget markerless gait analysis application that is aimed at orthopedic care was built and optimized for use in developing countries and small practices. The application utilizes Microsoft Kinect to detect and track body joints and then calculates nine gait parameters that are important for performing a gait assessment. The measurements of the hip flexion/extension, hip abduction/adduction and knee flexion/extension followed the graphs of standard gait pattern. Also they were consistent and homogeneous among all ten participants. Due to the low tracking accuracy for both the ankle and the foot, measurements of ankle plantar flexion and dorsiflexion didn't follow the trajectory of the standard graph. Moreover, measurements from participants were sparsely distributed across their average value.

Original language	English
Title of host publication	2018 International Conference on Computer, Control, Electrical, and Electronics Engineering, ICCCEEE 2018
Subtitle of host publication	Proceedings
Editors	Nihad A. A. Elhag, Sulafa Y. M. Ahmed, Alaelddin Fuad Yousif
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	8
ISBN (Electronic)	9781538641231
DOIs	https://doi.org/10.1109/ICCCEEE.2018.8515777
Publication status	Published - 30 Oct 2018
Externally published	Yes
Event	2018 International Conference on Computer, Control, Electrical, and Electronics Engineering, ICCCEEE 2018 - Khartoum, Sudan Duration: 12 Aug 2018 → 14 Aug 2018

Conference

Conference	2018 International Conference on Computer, Control, Electrical, and Electronics Engineering, ICCCEEE 2018
Country/Territory	Sudan
City	Khartoum
Period	12/08/18 → 14/08/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

gait analysis
joints kinematics
Kinect
markerless
orthopedic
spatio-temporal

Access to Document

10.1109/ICCCEEE.2018.8515777

Cite this

Osman, S. E. K., Hembroff, G. C., & Matos, M. A. (2018). Optimization of a markerless gait analysis application aimed at orthopedic care for developing countries. In N. A. A. Elhag, S. Y. M. Ahmed, & A. F. Yousif (Eds.), 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering, ICCCEEE 2018: Proceedings Article 8515777 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCCEEE.2018.8515777

Osman, Sagda E. K. ; Hembroff, Guy C. ; Matos, Marcos Almeida. / Optimization of a markerless gait analysis application aimed at orthopedic care for developing countries. 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering, ICCCEEE 2018: Proceedings. editor / Nihad A. A. Elhag ; Sulafa Y. M. Ahmed ; Alaelddin Fuad Yousif. Institute of Electrical and Electronics Engineers (IEEE), 2018.

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abstract = "In this work, a low-budget markerless gait analysis application that is aimed at orthopedic care was built and optimized for use in developing countries and small practices. The application utilizes Microsoft Kinect to detect and track body joints and then calculates nine gait parameters that are important for performing a gait assessment. The measurements of the hip flexion/extension, hip abduction/adduction and knee flexion/extension followed the graphs of standard gait pattern. Also they were consistent and homogeneous among all ten participants. Due to the low tracking accuracy for both the ankle and the foot, measurements of ankle plantar flexion and dorsiflexion didn't follow the trajectory of the standard graph. Moreover, measurements from participants were sparsely distributed across their average value.",

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note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering, ICCCEEE 2018 ; Conference date: 12-08-2018 Through 14-08-2018",

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doi = "10.1109/ICCCEEE.2018.8515777",

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Osman, SEK, Hembroff, GC & Matos, MA 2018, Optimization of a markerless gait analysis application aimed at orthopedic care for developing countries. in NAA Elhag, SYM Ahmed & AF Yousif (eds), 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering, ICCCEEE 2018: Proceedings., 8515777, Institute of Electrical and Electronics Engineers (IEEE), 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering, ICCCEEE 2018, Khartoum, Sudan, 12/08/18. https://doi.org/10.1109/ICCCEEE.2018.8515777

Optimization of a markerless gait analysis application aimed at orthopedic care for developing countries. / Osman, Sagda E. K.; Hembroff, Guy C.; Matos, Marcos Almeida.
2018 International Conference on Computer, Control, Electrical, and Electronics Engineering, ICCCEEE 2018: Proceedings. ed. / Nihad A. A. Elhag; Sulafa Y. M. Ahmed; Alaelddin Fuad Yousif. Institute of Electrical and Electronics Engineers (IEEE), 2018. 8515777.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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N2 - In this work, a low-budget markerless gait analysis application that is aimed at orthopedic care was built and optimized for use in developing countries and small practices. The application utilizes Microsoft Kinect to detect and track body joints and then calculates nine gait parameters that are important for performing a gait assessment. The measurements of the hip flexion/extension, hip abduction/adduction and knee flexion/extension followed the graphs of standard gait pattern. Also they were consistent and homogeneous among all ten participants. Due to the low tracking accuracy for both the ankle and the foot, measurements of ankle plantar flexion and dorsiflexion didn't follow the trajectory of the standard graph. Moreover, measurements from participants were sparsely distributed across their average value.

AB - In this work, a low-budget markerless gait analysis application that is aimed at orthopedic care was built and optimized for use in developing countries and small practices. The application utilizes Microsoft Kinect to detect and track body joints and then calculates nine gait parameters that are important for performing a gait assessment. The measurements of the hip flexion/extension, hip abduction/adduction and knee flexion/extension followed the graphs of standard gait pattern. Also they were consistent and homogeneous among all ten participants. Due to the low tracking accuracy for both the ankle and the foot, measurements of ankle plantar flexion and dorsiflexion didn't follow the trajectory of the standard graph. Moreover, measurements from participants were sparsely distributed across their average value.

KW - gait analysis

KW - joints kinematics

KW - Kinect

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KW - orthopedic

KW - spatio-temporal

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Osman SEK, Hembroff GC, Matos MA. Optimization of a markerless gait analysis application aimed at orthopedic care for developing countries. In Elhag NAA, Ahmed SYM, Yousif AF, editors, 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering, ICCCEEE 2018: Proceedings. Institute of Electrical and Electronics Engineers (IEEE). 2018. 8515777 doi: 10.1109/ICCCEEE.2018.8515777

Optimization of a markerless gait analysis application aimed at orthopedic care for developing countries

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Bibliographical note

Keywords

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Optimization of a markerless gait analysis application aimed at orthopedic care for developing countries

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