Live demonstration: Prosthesis grip force modulation using neuromorphic tactile sensing

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

doi:10.1109/ISCAS.2017.8050718

Live demonstration: Prosthesis grip force modulation using neuromorphic tactile sensing

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

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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 language	English (US)
Title of host publication	IEEE International Symposium on Circuits and Systems
Subtitle of host publication	From Dreams to Innovation, ISCAS 2017 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467368520
DOIs	https://doi.org/10.1109/ISCAS.2017.8050718
State	Published - Sep 25 2017
Event	50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 - Baltimore, United States Duration: May 28 2017 → May 31 2017

Other

Other	50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
Country/Territory	United States
City	Baltimore
Period	5/28/17 → 5/31/17

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/ISCAS.2017.8050718

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 Article 8050718 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2017.8050718

Live demonstration: Prosthesis grip force modulation using neuromorphic tactile sensing. / Osborn, Luke; Nguyen, Harrison; Kaliki, Rahul et al.
IEEE International Symposium on Circuits and Systems: From Dreams to Innovation, ISCAS 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 8050718.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Osborn, L, Nguyen, H, Kaliki, R & Thakor, NV 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., 50th IEEE International Symposium on Circuits and Systems, ISCAS 2017, Baltimore, United States, 5/28/17. https://doi.org/10.1109/ISCAS.2017.8050718

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title = "Live demonstration: Prosthesis grip force modulation using neuromorphic tactile sensing",

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.",

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AB - 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.

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Live demonstration: Prosthesis grip force modulation using neuromorphic tactile sensing

Abstract

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