Analysis and evaluation of fall prevention assist related with the angle of trunk

Hiromichi Kimura, Ryusei Mori, Toshiyuki Murakami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nowadays, decreasing birthrate and aging population become to be the serious social problem in Japan. Therefore, needs of assistive devices are more and more increasing. When people use such assistive devices, there is a risk that devices cost user excessive burden. So analysis and evaluation of motions and load of person who uses assistive devices are necessary. In this paper, a model to analyze the effect of external force applied to walking person by fall prevention robot is proposed. A way of suppressing human's lower limbs load in fall prevention assist is discussed through experiments.

Original languageEnglish
Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8255-8260
Number of pages6
Volume2017-January
ISBN (Electronic)9781538611272
DOIs
Publication statusPublished - 2017 Dec 15
Event43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China
Duration: 2017 Oct 292017 Nov 1

Other

Other43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
CountryChina
CityBeijing
Period17/10/2917/11/1

Keywords

  • Fall Prevention
  • Gyro Sensor
  • Motion Analysis
  • Walking

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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  • Cite this

    Kimura, H., Mori, R., & Murakami, T. (2017). Analysis and evaluation of fall prevention assist related with the angle of trunk. In Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society (Vol. 2017-January, pp. 8255-8260). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECON.2017.8217449