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

3 被引用数 (Scopus)

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月
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月 102020 3月 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
国/地域Japan
CityKyoto
Period20/3/1020/3/12

ASJC Scopus subject areas

  • 生体医工学
  • 健康情報学
  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識

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