Hutton, Jamie and Secco, Emanuele Lindo (2023) Development of an interface for real time control of a dexterous robotic hand, using MYO muscle sensor. Acta Scientific Computer Sciences.
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Abstract
The learning curve of many prosthetic hands can be too difficult for users to grasp, this
difficulty often leads users to stop using the prosthetic, especially if they have another
hand which can pick up the slack. This paper created an interface co ntrolled by a Myo
armband, which uses surface electrodes to detect EMG signals in fore arm muscles. The
goal was to have participants take part in an experiment using the interface and track
how well they are able to learn the process of moving a cursor ac ross a 2D screen, the
interface responds to four poses which control the cursors movement in left, right, up,
and down motions. Two main variables were tracked, the time taken to complete a task
and the accuracy on the cursor during the task, the poses bei ng used were also tracked.
All three participants had difficulties remembering the poses and controlling the cursor
in the beginning, however after several attempts the participants saw improvements in
time and accuracy. The improvements in time slow and e ven reversed in some instances,
this is possibly because of fatigue in the arm being used, alternatively the accuracy
continued to increase throughout the experiment for all three participants. There were two types of poses used, one type was using fingers
“fist pose” and “spread fingers”
pose, and the second type was using the wrist, “wave out” and “wave in” poses, two of
the participants seemed to favor the wrist movements more than the finger movements.
Conversely, the final participant favored the fin ger movements over the wrist
movements, the reason for these differences could be comfort or possibly good/bad
experiences during use in the early stages of the experiment
| Item Type: | Article |
|---|---|
| Additional Information and Comments: | Copyright: © 2023 Jamie Hutton and Emanuele Lindo Secco. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| Faculty / Department: | Faculty of Human and Digital Sciences > Mathematics and Computer Science |
| Depositing User: | Emanuele Secco |
| Date Deposited: | 13 Mar 2023 09:34 |
| Last Modified: | 13 Mar 2023 09:34 |
| URI: | https://hira.hope.ac.uk/id/eprint/3771 |
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