Live Demonstration: Augmented Reality Prosthesis Training with Real- Time Hand Trajectory Prediction and Neuromorphic Tactile Encoding

Christopher L. Hunt; Avinash Sharma; Mark M. Iskarous; Nitish V. Thakor

doi:10.1109/BIOCAS.2018.8584670

Live Demonstration: Augmented Reality Prosthesis Training with Real- Time Hand Trajectory Prediction and Neuromorphic Tactile Encoding

Christopher L. Hunt
, Avinash Sharma
, Mark M. Iskarous
, Nitish V. Thakor

School of Medicine

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

1 Scopus citations

Abstract

This demonstration is a combination of the work described in [1], [2], and [3]. The goal of this work is to improve the efficacy of upper-limb prosthesis training protocols using visual feedback based on tactile and proprioceptive sensorization in an augmented reality environment.

Original language	English (US)
Title of host publication	2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538636039
DOIs	https://doi.org/10.1109/BIOCAS.2018.8584670
State	Published - Dec 20 2018
Event	2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Cleveland, United States Duration: Oct 17 2018 → Oct 19 2018

Publication series

Name	2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings

Other

Other	2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018
Country/Territory	United States
City	Cleveland
Period	10/17/18 → 10/19/18

ASJC Scopus subject areas

Electrical and Electronic Engineering
Health Informatics
Instrumentation
Signal Processing
Biomedical Engineering

Access to Document

10.1109/BIOCAS.2018.8584670

Cite this

Hunt, C. L., Sharma, A., Iskarous, M. M., & Thakor, N. V. (2018). Live Demonstration: Augmented Reality Prosthesis Training with Real- Time Hand Trajectory Prediction and Neuromorphic Tactile Encoding. In 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings Article 8584670 (2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIOCAS.2018.8584670

Live Demonstration: Augmented Reality Prosthesis Training with Real- Time Hand Trajectory Prediction and Neuromorphic Tactile Encoding. / Hunt, Christopher L.; Sharma, Avinash; Iskarous, Mark M. et al.
2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8584670 (2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings).

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

Hunt, CL, Sharma, A, Iskarous, MM & Thakor, NV 2018, Live Demonstration: Augmented Reality Prosthesis Training with Real- Time Hand Trajectory Prediction and Neuromorphic Tactile Encoding. in 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings., 8584670, 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018, Cleveland, United States, 10/17/18. https://doi.org/10.1109/BIOCAS.2018.8584670

Hunt CL, Sharma A, Iskarous MM, Thakor NV. Live Demonstration: Augmented Reality Prosthesis Training with Real- Time Hand Trajectory Prediction and Neuromorphic Tactile Encoding. In 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8584670. (2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings). doi: 10.1109/BIOCAS.2018.8584670

Hunt, Christopher L. ; Sharma, Avinash ; Iskarous, Mark M. et al. / Live Demonstration : Augmented Reality Prosthesis Training with Real- Time Hand Trajectory Prediction and Neuromorphic Tactile Encoding. 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings).

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title = "Live Demonstration: Augmented Reality Prosthesis Training with Real- Time Hand Trajectory Prediction and Neuromorphic Tactile Encoding",

abstract = "This demonstration is a combination of the work described in [1], [2], and [3]. The goal of this work is to improve the efficacy of upper-limb prosthesis training protocols using visual feedback based on tactile and proprioceptive sensorization in an augmented reality environment.",

author = "Hunt, \{Christopher L.\} and Avinash Sharma and Iskarous, \{Mark M.\} and Thakor, \{Nitish V.\}",

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Live Demonstration: Augmented Reality Prosthesis Training with Real- Time Hand Trajectory Prediction and Neuromorphic Tactile Encoding

Abstract

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ASJC Scopus subject areas

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