Wearable tactile sensor brace for motion intent recognition in upper-limb rehabilitation

Thekla Stefanou, Greg Chance, Tareq Assaf, Alexander Lenz, Sanja Dogramadzi

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

7 Downloads (Pure)

Abstract

Motion intent recognition is an important part of autonomous rehabilitative and assistive devices. The focus of this paper is on upper limb motion intent detection for use in wearable rehabilitative devices. Our aim is to capture the tactile cues that arise during weak muscle contractions. We introduce the tactile arm brace (TAB) and analyse the various patterns recorded. Depending on the arm muscles that contract to perform a particular hand motion, different parts of the TAB will experience variations in the interaction forces. A study involving 12 healthy subjects was conducted using the TAB and a bespoke gripping device, designed and built to measure gripping forces. Tactile signatures on the brace change when the fingers extend or grip; this validates our hypothesis based on the forearm muscle physiology. Gripping models were generated to relate low-strength gripping, between 0kg and 2kg, and TAB force readings. The best recorded sensitivity (ratio between the gripper force and the FSR), found in the proximity of the posterior radial forearm, was 0.052. Using all TAB sensors, the K-fold cross validation method produced an RMSE of 5.48N.
Original languageEnglish
Title of host publicationProceedings of the 7th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2018)
Subtitle of host publicationProceedings of a meeting held 26-29 August 2018, Enschede, Netherlands.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages148-155
ISBN (Electronic)9781538681831
ISBN (Print)9781538681848
DOIs
Publication statusPublished - 1 Nov 2018

Publication series

Name2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)
PublisherIEEE
ISSN (Print)2155-1774
ISSN (Electronic)2155-1782

Fingerprint Dive into the research topics of 'Wearable tactile sensor brace for motion intent recognition in upper-limb rehabilitation'. Together they form a unique fingerprint.

Cite this