IMU-based assistance modulation in upper limb soft wearable exosuits

Kieran Little, Chris W. Antuvan, Michele Xiloyannis, De Noronha Bernardo, Yongtae G. Kim, Lorenzo Masia, Dino Accoto

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

33 Scopus citations

Abstract

Soft exosuits have advantages over their rigid counterparts in terms of portability, transparency and ergonomics. Our previous work has shown that a soft, fabric-based exosuit, actuated by an electric motor and a Bowden cable, reduced the muscular effort of the user when flexing the elbow. This previous exosuit used a gravity compensation algorithm with the assumption that the shoulder was adducted at the trunk. In this investigation, the shoulder elevation angle was incorporated into the gravity compensation control via inertial measurement units (IMUs). We assessed our updated gravity compensation model with four healthy, male subjects (age: 26.2 \pm 1.19 years) who followed an elbow flexion reference trajectory which reached three amplitudes (25{\circ}, 50 {\circ}, 75 {\circ}) and was repeated at three shoulder angles (25 {\circ}, 50 {\circ}, 75 {\circ}). To assess the performance of the exosuit; the smoothness, tracking accuracy and muscle activity were investigated during each motion. We found a reduction of biceps brachii activation (24.3%) in the powered condition compared to the unpowered condition. In addition, there was an improvement in kinematic smoothness (0.83%) and a reduction of tracking accuracy (26.5%) in the powered condition with respect to the unpowered condition. We can conclude that the updated gravity compensation algorithm has increased the number of supported movements by considering the shoulder elevation, which has improved the usability of the device.

Original languageEnglish
Title of host publication2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019
PublisherIEEE Computer Society
Pages1197-1202
Number of pages6
ISBN (Electronic)9781728127552
DOIs
StatePublished - Jun 2019
Externally publishedYes
Event16th IEEE International Conference on Rehabilitation Robotics, ICORR 2019 - Toronto, Canada
Duration: 24 Jun 201928 Jun 2019

Publication series

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

Conference

Conference16th IEEE International Conference on Rehabilitation Robotics, ICORR 2019
Country/TerritoryCanada
CityToronto
Period24/06/1928/06/19

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