Prototype measuring device for assessing interaction forces between human limbs and rehabilitation robots - A proof of concept study

Jule Bessler, Leendert Schaake, Roy Kelder, Jaap H. Buurke, Gerdienke B. Prange-Lasonder

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

4 Citations (Scopus)

Abstract

Rehabilitation robots can provide high intensity and dosage training or assist patients in activities of daily living and decrease physical strain on clinicians. However, the physical human robot interaction poses a major safety issue, as the close physical contact between user and robot can lead to injuries. Moreover, the magnitude of forces as well as best practices for measuring them, are widely unknown. Therefore, a measurement setup was developed to assess normal and tangential forces that occur in the contact area between an arm and a splint. Force sensitive resistors and a force / torque sensor were combined with two different splint shapes. Initial experiments indicated that the setup gives some insight into magnitudes and distribution of normal forces on the splint-forearm-interface. Experiment results show a dependency of force distributions on the splint shape and sensor locations. Based on these outcomes, we proposed an improved setup for subsequent investigations.

Original languageEnglish
Title of host publication2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019
Place of PublicationPiscataway, NJ
PublisherIEEE Computer Society
Pages1109-1114
Number of pages6
ISBN (Electronic)978-1-7281-2755-2
ISBN (Print)978-1-7281-2756-9
DOIs
Publication statusPublished - Jun 2019
Event16th IEEE International Conference on Rehabilitation Robotics, ICORR 2019 - Toronto, Canada
Duration: 24 Jun 201928 Jun 2019
Conference number: 16

Publication series

NameIEEE International Conference on Rehabilitation Robotics
PublisherIEEE
Volume2019
ISSN (Print)1945-7898
ISSN (Electronic)1945-7901

Conference

Conference16th IEEE International Conference on Rehabilitation Robotics, ICORR 2019
Abbreviated titleICORR
CountryCanada
CityToronto
Period24/06/1928/06/19

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