Citation
Almassri, Ahmed and Koyanagi, Ken'ichi and Wada, Chikamune and Horio, Keiichi and Wan Hasan, Wan Zuha
(2023)
Development of a robotic hand glove system for secure grasp with AI wireless sensor data.
In: 2023 IEEE International Conference on Mechatronics and Automation (ICMA), 6-9 Aug. 2023, Harbin, Heilongjiang, China. (pp. 669-674).
Abstract
Robotic Hand glove is one of the most commonly used technique in the rehabilitation systems. In this paper, we developed a robotic hand system with a proposed sensing mechanism-based AI algorithm, which can acquire grasping forces from human fingers. It is composed of five low-cost force sensors attached to the glove’s fingertips and wireless data logger. Several experiments including grasping a plastic bottle and squeezing a tennis ball are implemented to verify the efficiency of the proposed system using the developed glove. As a result, it accurately estimates the forces applied by each finger with the aim of achieving a secure grasp comparison with conventional methods.
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Official URL or Download Paper: https://ieeexplore.ieee.org/document/10215914
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Additional Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Engineering |
| DOI Number: | https://doi.org/10.1109/ICMA57826.2023.10215914 |
| Publisher: | IEEE |
| Keywords: | Hand glove; Grasping mechanism; Wireless sensor; Pressure sensors; ANN algorithm |
| Depositing User: | Ms. Nuraida Ibrahim |
| Date Deposited: | 28 Sep 2023 05:43 |
| Last Modified: | 28 Sep 2023 05:43 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICMA57826.2023.10215914 |
| URI: | http://psasir.upm.edu.my/id/eprint/37733 |
| Statistic Details: | View Download Statistic |
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