research-article

An Interactive Training System for Upper Limb Rehabilitation Using Visual and Auditory Feedback

Authors:

Yuhan Ding,

Eng Hock TayAuthors Info & Claims

ICRAI '19: Proceedings of the 5th International Conference on Robotics and Artificial Intelligence

Pages 54 - 58

https://doi.org/10.1145/3373724.3373728

Published: 03 February 2020 Publication History

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Abstract

Stroke is the leading cause of adult disability around the world. The arm skate is designed for recovering the motor function of upper limb after stroke. The interactive training system described in this paper consists of a robotic arm skate and a user interface which instructs the patient to exercise properly and interacts with the patient similar to a therapist. The robotic arm skate applies four omni-wheels to achieve omni-directional movement. The kinematic model is established to determine the rotational velocity and direction of the omni-wheel. The software offers both auditory and visual feedback in the training process so that patients can better engage in the exercise. It can recognize speech from patients and adjust the task according to the demands of patients. The range of motion of each training is recorded and monitored to see the recovery progress of patients. The training system is tested in a local rehabilitation center. A long-term experiment is recommended to see whether the training is effective.

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Cited By

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Ye CWang ZYu SJiang C(2024)An Image-Based Interactive Training Method of an Upper Limb Rehabilitation RobotMachines10.3390/machines1205034812:5(348)Online publication date: 16-May-2024
https://doi.org/10.3390/machines12050348
Kyrarini MLygerakis FRajavenkatanarayanan ASevastopoulos CNambiappan HChaitanya KBabu AMathew JMakedon F(2021)A Survey of Robots in HealthcareTechnologies10.3390/technologies90100089:1(8)Online publication date: 18-Jan-2021
https://doi.org/10.3390/technologies9010008

Index Terms

An Interactive Training System for Upper Limb Rehabilitation Using Visual and Auditory Feedback
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Sound-based input / output
  2. Interaction design
    1. Interaction design process and methods
      1. User interface design

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Published In

ICRAI '19: Proceedings of the 5th International Conference on Robotics and Artificial Intelligence

November 2019

108 pages

ISBN:9781450372350

DOI:10.1145/3373724

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 February 2020

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ICRAI '19

ICRAI '19: 2019 5th International Conference on Robotics and Artificial Intelligence

November 22 - 24, 2019

Singapore, Singapore

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Cited By

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Ye CWang ZYu SJiang C(2024)An Image-Based Interactive Training Method of an Upper Limb Rehabilitation RobotMachines10.3390/machines1205034812:5(348)Online publication date: 16-May-2024
https://doi.org/10.3390/machines12050348
Kyrarini MLygerakis FRajavenkatanarayanan ASevastopoulos CNambiappan HChaitanya KBabu AMathew JMakedon F(2021)A Survey of Robots in HealthcareTechnologies10.3390/technologies90100089:1(8)Online publication date: 18-Jan-2021
https://doi.org/10.3390/technologies9010008

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Recommendations

A convenient home-based rehabilitation system for patients with paretic upper-limb

Development of robot assisted stroke rehabilitation system of human upper limb

BCI system for upper and lower limb rehabilitation