Smart staff design to assist walking of elders

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper proposes a smart staff that can vary its length according to height or physical condition of elder, or slope of the ground. In order to find the optimal length of staff, the supporting force is employed as the measure. Initial experiment conducts measurement of the supporting force by using a force sensor embedded at the distal end of the staff. It is found that people with different height have different optimal length of staff. Using the optimal staff, the second part treats the stable walking of staff-assisted elders. It is found that the staff-assisted walking is characterized by five steps. The concept of center of gravity (COG) is used as the measure of the stable walking and a compact wearable sensor system is employed to measure COG of the four steps. Finally, the adjustable staff and COG-based analysis are applied to stable walking in the slope. To measure the slope of the ground, a flexible sensor was installed at the distal end of the staff. Through experiment, the feasibility of the adjustable staff was verified.

Original languageEnglish
Title of host publication2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages515-518
Number of pages4
ISBN (Electronic)9781509008216
DOIs
StatePublished - 21 Oct 2016
Event13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016 - Xian, China
Duration: 19 Aug 201622 Aug 2016

Publication series

Name2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016

Conference

Conference13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016
Country/TerritoryChina
CityXian
Period19/08/1622/08/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • COG
  • Elder
  • Smart staff
  • Stable walking

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