Vision-based human state estimation to control an intelligent passive walker

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

13 Citations (Scopus)

Abstract

The motion of a passive-type intelligent walker is controlled based on visual estimation of the motion state of the user. The controlled walker would be a support for standing up and prevent the user from falling down. The visual motion analysis detects and tracks the human upper body parts and localizes them in 3D using a stereovision approach. Using this data the user's state is estimated to be whether seated, standing up, falling down or walking. The controller activates the servo brakes in sitting, standing and falling situations as a support to insure both comfort and safety of the user. Estimation methods are experimented with a passive-type intelligent walker referred to as "RT Walker", equipped with servo brakes.

Original languageEnglish
Title of host publication2010 IEEE/SICE International Symposium on System Integration
Subtitle of host publicationSI International 2010 - The 3rd Symposium on System Integration, SII 2010, Proceedings
Pages146-151
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Event3rd International Symposium on System Integration, SII 2010 - Sendai, Japan
Duration: 2010 Dec 212010 Dec 22

Publication series

Name2010 IEEE/SICE International Symposium on System Integration: SI International 2010 - The 3rd Symposium on System Integration, SII 2010, Proceedings

Other

Other3rd International Symposium on System Integration, SII 2010
CountryJapan
CitySendai
Period10/12/2110/12/22

ASJC Scopus subject areas

  • Control and Systems Engineering

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