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Training with Agency-Inspired Feedback from an Instrumented Glove to Improve Functional Grasp Performance

Sensory feedback from wearables can be effective to learn better movement through enhanced information and engagement. Facilitating greater user cognition during movement practice is critical to accelerate gains in motor function during rehabilitation following brain or spinal cord trauma. This prel...

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Detalles Bibliográficos
Autores principales: Liu, Mingxiao, Wilder, Samuel, Sanford, Sean, Saleh, Soha, Harel, Noam Y., Nataraj, Raviraj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915039/
https://www.ncbi.nlm.nih.gov/pubmed/33562342
http://dx.doi.org/10.3390/s21041173
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author Liu, Mingxiao
Wilder, Samuel
Sanford, Sean
Saleh, Soha
Harel, Noam Y.
Nataraj, Raviraj
author_facet Liu, Mingxiao
Wilder, Samuel
Sanford, Sean
Saleh, Soha
Harel, Noam Y.
Nataraj, Raviraj
author_sort Liu, Mingxiao
collection PubMed
description Sensory feedback from wearables can be effective to learn better movement through enhanced information and engagement. Facilitating greater user cognition during movement practice is critical to accelerate gains in motor function during rehabilitation following brain or spinal cord trauma. This preliminary study presents an approach using an instrumented glove to leverage sense of agency, or perception of control, to provide training feedback for functional grasp. Seventeen able-bodied subjects underwent training and testing with a custom-built sensor glove prototype from our laboratory. The glove utilizes onboard force and flex sensors to provide inputs to an artificial neural network that predicts achievement of “secure” grasp. Onboard visual and audio feedback was provided during training with progressively shorter time delay to induce greater agency by intentional binding, or perceived compression in time between an action (grasp) and sensory consequence (feedback). After training, subjects demonstrated a significant reduction (p < 0.05) in movement pathlength and completion time for a functional task involving grasp-move-place of a small object. Future work will include a model-based algorithm to compute secure grasp, virtual reality immersion, and testing with clinical populations.
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spelling pubmed-79150392021-03-01 Training with Agency-Inspired Feedback from an Instrumented Glove to Improve Functional Grasp Performance Liu, Mingxiao Wilder, Samuel Sanford, Sean Saleh, Soha Harel, Noam Y. Nataraj, Raviraj Sensors (Basel) Communication Sensory feedback from wearables can be effective to learn better movement through enhanced information and engagement. Facilitating greater user cognition during movement practice is critical to accelerate gains in motor function during rehabilitation following brain or spinal cord trauma. This preliminary study presents an approach using an instrumented glove to leverage sense of agency, or perception of control, to provide training feedback for functional grasp. Seventeen able-bodied subjects underwent training and testing with a custom-built sensor glove prototype from our laboratory. The glove utilizes onboard force and flex sensors to provide inputs to an artificial neural network that predicts achievement of “secure” grasp. Onboard visual and audio feedback was provided during training with progressively shorter time delay to induce greater agency by intentional binding, or perceived compression in time between an action (grasp) and sensory consequence (feedback). After training, subjects demonstrated a significant reduction (p < 0.05) in movement pathlength and completion time for a functional task involving grasp-move-place of a small object. Future work will include a model-based algorithm to compute secure grasp, virtual reality immersion, and testing with clinical populations. MDPI 2021-02-07 /pmc/articles/PMC7915039/ /pubmed/33562342 http://dx.doi.org/10.3390/s21041173 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Liu, Mingxiao
Wilder, Samuel
Sanford, Sean
Saleh, Soha
Harel, Noam Y.
Nataraj, Raviraj
Training with Agency-Inspired Feedback from an Instrumented Glove to Improve Functional Grasp Performance
title Training with Agency-Inspired Feedback from an Instrumented Glove to Improve Functional Grasp Performance
title_full Training with Agency-Inspired Feedback from an Instrumented Glove to Improve Functional Grasp Performance
title_fullStr Training with Agency-Inspired Feedback from an Instrumented Glove to Improve Functional Grasp Performance
title_full_unstemmed Training with Agency-Inspired Feedback from an Instrumented Glove to Improve Functional Grasp Performance
title_short Training with Agency-Inspired Feedback from an Instrumented Glove to Improve Functional Grasp Performance
title_sort training with agency-inspired feedback from an instrumented glove to improve functional grasp performance
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915039/
https://www.ncbi.nlm.nih.gov/pubmed/33562342
http://dx.doi.org/10.3390/s21041173
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