Video-Based Hand Tracking for Screening Cervical Myelopathy

Ryota Matsui, Takafumi Koyama, Koji Fujita, Hideo Saito, Yuta Sugiura

研究成果: Conference contribution

3 被引用数 (Scopus)


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.

ホスト出版物のタイトルAdvances in Visual Computing - 16th International Symposium, ISVC 2021, Proceedings
編集者George Bebis, Vassilis Athitsos, Tong Yan, Manfred Lau, Frederick Li, Conglei Shi, Xiaoru Yuan, Christos Mousas, Gerd Bruder
出版社Springer Science and Business Media Deutschland GmbH
出版ステータスPublished - 2021
イベント16th International Symposium on Visual Computing, ISVC 2021 - Virtual Online
継続期間: 2021 10月 42021 10月 6


名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13018 LNCS


Conference16th International Symposium on Visual Computing, ISVC 2021
CityVirtual Online

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)


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