Live demonstration: Prosthesis grip force modulation using neuromorphic tactile sensing

Luke Osborn, Harrison Nguyen, Rahul Kaliki, Nitish V Thakor

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

Abstract

This is a live demonstration of the work described in [1]. The paper ID of this submission is 1634. The goal of this work is to use a neuromorphic model for providing tactile feedback to a prosthetic hand to improve grasping functionality. Custom force sensors are placed on the fingertips of a bebionc3 (Steeper, Leeds, UK) prosthetic hand and communicate with the prosthesis controller (Infinite Biomedical Technologies, Baltimore, USA). The prosthesis grip force is used as the input to a leaky integrate and fire (LIF) with spike rate adaption neuron model to produce a tactile signal represented by spiking information, which is similar to the behavior of mechanoreceptors found in humans. The prosthesis controller uses the spiking information to modulate the grip force and allow the hand to grasp a delicate object.

Original languageEnglish (US)
Title of host publicationIEEE International Symposium on Circuits and Systems
Subtitle of host publicationFrom Dreams to Innovation, ISCAS 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467368520
DOIs
StatePublished - Sep 25 2017
Event50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 - Baltimore, United States
Duration: May 28 2017May 31 2017

Other

Other50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
CountryUnited States
CityBaltimore
Period5/28/175/31/17

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Osborn, L., Nguyen, H., Kaliki, R., & Thakor, N. V. (2017). Live demonstration: Prosthesis grip force modulation using neuromorphic tactile sensing. In IEEE International Symposium on Circuits and Systems: From Dreams to Innovation, ISCAS 2017 - Conference Proceedings [8050718] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2017.8050718