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.
|Title of host publication||The Hamlyn Symposium on Medical Robotics Proceedings|
|Subtitle of host publication||24-27 June 2018, Imperial College London, UK|
|Number of pages||2|
|Publication status||Published - 5 Sep 2018|