Simultaneous Online Motion Discrimination and Evaluation of Whole-body Exercise by Synergy Probes for Home Rehabilitation

Felipe M. Ramos, Mitsuhiro Hayashibe

研究成果: Conference contribution

抄録

The development of algorithms for motion discrimination in home rehabilitation sessions poses numerous challenges. Recent studies have used the concept of synergies to discriminate a set of movements. However, the discrimination depends on the correlation of the reconstructed movement with the online data, and the training data requires well-defined movements. In this paper, we introduced the concept of a synergy probe, which makes a direct comparison between synergies and online data. The system represents synergies and movements in the same space and monitors their behavior. The results indicated that conventional methods are influenced by the segmentation of training data, and even though the reconstructed movement is similar to the ground-truth, it does not provide sufficient information to evaluate the data in real time. The synergy probes were used to discriminate and evaluate the performance of natural whole-body exercises without segmentation or previous determination of movements. An analysis of the results also demonstrated the possibility to identify the strategies used by the subjects for movement. Such information aids in gaining a better insight and can prove beneficial in home rehabilitation.

本文言語English
ホスト出版物のタイトル2020 IEEE International Conference on Robotics and Automation, ICRA 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ10118-10124
ページ数7
ISBN(電子版)9781728173955
DOI
出版ステータスPublished - 2020 5
イベント2020 IEEE International Conference on Robotics and Automation, ICRA 2020 - Paris, France
継続期間: 2020 5 312020 8 31

出版物シリーズ

名前Proceedings - IEEE International Conference on Robotics and Automation
ISSN(印刷版)1050-4729

Conference

Conference2020 IEEE International Conference on Robotics and Automation, ICRA 2020
CountryFrance
CityParis
Period20/5/3120/8/31

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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