Methodology for automatic movement cycle extraction using Switching Linear Dynamic System

Roberto De Souza Baptista, Antônio Padilha Lanari Bó, Mitsuhiro Hayashibe

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Human motion assessment is key for motor-control rehabilitation. Using standardized definitions and spatiotemporal features - usually presented as a movement cycle diagram- specialists can associate kinematic measures to progress in rehabilitation therapy or motor impairment due to trauma or disease. Although devices for capturing human motion today are cheap and widespread, the automatic interpretation of kinematic data for rehabilitation is still poor in terms of quantitative performance evaluation. In this paper we present an automatic approach to extract spatiotemporal features from kinematic data and present it as a cycle diagram. This is done by translating standard definitions from human movement analysis into mathematical elements of a Switching Linear Dynamic System model. The result is a straight-forward procedure to learn a tracking model from a sample execution. This model is robust when used to automatically extract the movement cycle diagram of the same motion (the Sit-Stand-Sit, as an example) executed in different subject-specific manner such as his own motion speed.

本文言語English
ホスト出版物のタイトル2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015
出版社IEEE Computer Society
ページ743-746
ページ数4
ISBN(電子版)9781467363891
DOI
出版ステータスPublished - 2015 7 1
外部発表はい
イベント7th International IEEE/EMBS Conference on Neural Engineering, NER 2015 - Montpellier, France
継続期間: 2015 4 222015 4 24

出版物シリーズ

名前International IEEE/EMBS Conference on Neural Engineering, NER
2015-July
ISSN(印刷版)1948-3546
ISSN(電子版)1948-3554

Other

Other7th International IEEE/EMBS Conference on Neural Engineering, NER 2015
国/地域France
CityMontpellier
Period15/4/2215/4/24

ASJC Scopus subject areas

  • 人工知能
  • 機械工学

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