Detection of cervical myelopathy with Leap Motion Sensor by random forests

Masaru Watanabe, Yuta Sugiura, Hideo Saito, Takafumi Koyama, Koji Fujita

研究成果: Conference contribution

抄録

This paper presents a method for automatic detection of cervical myelopathy by using Leap Motion Sensor for sensing hand motion to apply a method called the 10-s grip and release test. Leap Motion data is analyzed for computing feature of hand motion, which is used for automatic detection of patient or healthy people by random forests algorithm for machine learning. For evaluating automatic detection performance, we collect real data of hand motion 54 of patient and healthy people, which is used for validating accuracy of detection.

本文言語English
ホスト出版物のタイトルLifeTech 2020 - 2020 IEEE 2nd Global Conference on Life Sciences and Technologies
出版社Institute of Electrical and Electronics Engineers Inc.
ページ214-216
ページ数3
ISBN(電子版)9781728170633
DOI
出版ステータスPublished - 2020 3
外部発表はい
イベント2nd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2020 - Kyoto, Japan
継続期間: 2020 3 102020 3 12

出版物シリーズ

名前LifeTech 2020 - 2020 IEEE 2nd Global Conference on Life Sciences and Technologies

Conference

Conference2nd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2020
CountryJapan
CityKyoto
Period20/3/1020/3/12

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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