research-article

Robotic Stimulation for Fine Motor Skills of the Upper Extremities

Authors:

Christian P. Carvajal,

Fernando A. Chicaiza,

Renato Carvajal,

Víctor H. AndaluzAuthors Info & Claims

ICETC '17: Proceedings of the 9th International Conference on Education Technology and Computers

Pages 268 - 271

https://doi.org/10.1145/3175536.3176652

Published: 20 December 2017 Publication History

Abstract

This article proposes the construction and control of a robotic hand operated by an electronic glove. The glove includes resistive sensors to capture the deflection of the fingers to be replicated. The data obtained by the glove is processed by a microcontroller to generate control signals, which are transmitted wirelessly using the IEEE 802.15.4 protocol. The frames of the robotic hand were designed and printed using 3D printing technology. In order to maneuver the joints, the robotic hand has five actuators which allow generating movements in each joint of the robotic hand, imitating the gestures that the user executes with the glove. In this way, patients are stimulated to execute activities with their hands observing the gestures made in real time. By performing these repetitive gestures, it is proposed to encourage the motor skills of the joints when executing other daily activities.

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Cited By

Lewis BVenkatasubramanian KKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)“I...Got my Nose-Print. But it Wasn’t Accurate”: How People with Upper Extremity Impairment Authenticate on their Personal Computing DevicesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445070(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445070

Index Terms

Robotic Stimulation for Fine Motor Skills of the Upper Extremities
1. Applied computing
  1. Life and medical sciences
    1. Consumer health
    2. Health care information systems

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ICETC '17: Proceedings of the 9th International Conference on Education Technology and Computers

December 2017

270 pages

ISBN:9781450354356

DOI:10.1145/3175536

Copyright © 2017 ACM.

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Association for Computing Machinery

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Publication History

Published: 20 December 2017

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ICETC 2017

ICETC 2017: 2017 9th International Conference on Education Technology and Computers

December 20 - 22, 2017

Barcelona, Spain

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Cited By

Lewis BVenkatasubramanian KKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)“I...Got my Nose-Print. But it Wasn’t Accurate”: How People with Upper Extremity Impairment Authenticate on their Personal Computing DevicesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445070(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445070

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