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Video-Based Hand Tracking for Screening Cervical Myelopathy

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Advances in Visual Computing (ISVC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 13018))

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Abstract

Cervical myelopathy (CM) is a pathology of the spinal cord that causes upper limb disorders. CM is often screened by conducting the 10-s grip and release (G&R) test, which mainly focuses on hand dysfunction caused by CM. This test has patients repeat gripping and releasing their hands as quickly as possible. Spine surgeons observe the quickness of this repetition to screen for CM. We propose an automatic screening method of CM that involves patients’ hands recorded as videos when they are performing the G&R test. The videos are used to estimate feature values, i.e., the positions of each part of the hand, which are obtained through image processing. A support vector machine classifier classifies CM patients and controls with these feature values after pre-processing. We validated our method with 10-fold cross-validation and the videos of 20 CM patients and 15 controls. The results indicate that sensitivity, specificity, and area under the receiver operating characteristic curve were \(90.0\%\), \(93.3\%\), and 0.947, respectively.

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Acknowledgements

This work was supported by JST PRESTO Grant Number JPMJPR17J4 and JST AIP-PRISM Grant Number JPMJCR18Y2.

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Authors and Affiliations

  1. Keio University, Tokyo, Japan

    Ryota Matsui, Hideo Saito & Yuta Sugiura

  2. Tokyo Medical and Dental University, Tokyo, Japan

    Takafumi Koyama & Koji Fujita

Authors
  1. Ryota Matsui
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  2. Takafumi Koyama
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  3. Koji Fujita
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  4. Hideo Saito
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  5. Yuta Sugiura
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Corresponding author

Correspondence to Yuta Sugiura .

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Editors and Affiliations

  1. University of Nevada, Reno, NV, USA

    George Bebis

  2. University of Texas at Arlington, Arlington, TX, USA

    Vassilis Athitsos

  3. University of South Carolina, Columbia, SC, USA

    Tong Yan

  4. City University of Hong Kong, Kowloon, Hong Kong

    Manfred Lau

  5. School of Engineering and Computing, University of Durham, Durham, Durham, UK

    Frederick Li

  6. Airbnb, New York, NY, USA

    Conglei Shi

  7. Peking University, Beijing, China

    Xiaoru Yuan

  8. Purdue University, West Lafayette, IN, USA

    Christos Mousas

  9. IST, School of Modeling, Simulation, and Training, Orlando, FL, USA

    Gerd Bruder

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Matsui, R., Koyama, T., Fujita, K., Saito, H., Sugiura, Y. (2021). Video-Based Hand Tracking for Screening Cervical Myelopathy. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2021. Lecture Notes in Computer Science(), vol 13018. Springer, Cham. https://doi.org/10.1007/978-3-030-90436-4_1

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  • DOI: https://doi.org/10.1007/978-3-030-90436-4_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90435-7

  • Online ISBN: 978-3-030-90436-4

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