Response Times of a Tactile Motion Intent Recognition System

Thekla Stefanou, Greg Chance, Tareq Assaf, Sanja Dogramadzi

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

Abstract

In the quest for high performance and consistency in motion intent recognition systems we experiment with tactile sensing. We investigate the potential of a tactile motion intent recognition system for use in autonomous rehabilitative and assistive devices. The focus of this work is on the latency of its motion detection. Looking at upper limb motion intent recognition we aim to capture and interpret the tactile cues that arise. We used a tactile arm brace, the TAB, placed on the forearm to detect muscle activity while performing gripping motions using a bespoke 3D printed and sensorised gripping device. Analysis of the data showed that the TAB detects gripping instances, on average, 0.26s before gripping device.
Original languageEnglish
Title of host publicationThe Hamlyn Symposium on Medical Robotics Proceedings: 24-27 June 2018, Imperial College London, UK
Pages131-132
Number of pages2
Publication statusPublished - 5 Sep 2018

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