Interaction modelling for wearable assistive devices

Bas J. De Kruif, Leonard O'Sullivan, Emilio Schmidhauser, Konrad S. Stadler

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

Abstract

An exoskeleton may help healthy older adults stay inde- pendent for a longer time by augmenting their torque at weakened joints. Predictive models are useful to develop ex- oskeletons and assess the effect of exoskeletons on the user. Existing models that predict the effect of exoskeletons on the user use pre-defined motions which do not change when the forces applied by the exoskeleton changes. In this work we have developed and tested a simulation architecture that incorporates the dynamic interaction between the user and the exoskeleton. This allows to predict modified motions due to the influence of the exoskeleton.

Original languageEnglish
Title of host publication9th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2016 - Conference Proceedings
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450343374
DOIs
Publication statusPublished - 29 Jun 2016
Event9th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2016 - Corfu, Greece
Duration: 29 Jun 20161 Jul 2016

Publication series

NameACM International Conference Proceeding Series
Volume29-June-2016

Conference

Conference9th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2016
Country/TerritoryGreece
CityCorfu
Period29/06/161/07/16

Keywords

  • Exoskeleton
  • Human-exoskeleton interaction
  • Modelling

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