Development of a robotic hand glove system for secure grasp with AI wireless sensor data
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 att...
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2023
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my.upm.eprints.377332023-09-28T05:43:40Z http://psasir.upm.edu.my/id/eprint/37733/ Development of a robotic hand glove system for secure grasp with AI wireless sensor data Almassri, Ahmed Koyanagi, Ken'ichi Wada, Chikamune Horio, Keiichi Wan Hasan, Wan Zuha 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. IEEE 2023 Conference or Workshop Item PeerReviewed 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). https://ieeexplore.ieee.org/document/10215914 10.1109/ICMA57826.2023.10215914 |
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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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Conference or Workshop Item |
author |
Almassri, Ahmed Koyanagi, Ken'ichi Wada, Chikamune Horio, Keiichi Wan Hasan, Wan Zuha |
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Almassri, Ahmed Koyanagi, Ken'ichi Wada, Chikamune Horio, Keiichi Wan Hasan, Wan Zuha Development of a robotic hand glove system for secure grasp with AI wireless sensor data |
author_facet |
Almassri, Ahmed Koyanagi, Ken'ichi Wada, Chikamune Horio, Keiichi Wan Hasan, Wan Zuha |
author_sort |
Almassri, Ahmed |
title |
Development of a robotic hand glove system for secure grasp with AI wireless sensor data |
title_short |
Development of a robotic hand glove system for secure grasp with AI wireless sensor data |
title_full |
Development of a robotic hand glove system for secure grasp with AI wireless sensor data |
title_fullStr |
Development of a robotic hand glove system for secure grasp with AI wireless sensor data |
title_full_unstemmed |
Development of a robotic hand glove system for secure grasp with AI wireless sensor data |
title_sort |
development of a robotic hand glove system for secure grasp with ai wireless sensor data |
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IEEE |
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2023 |
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http://psasir.upm.edu.my/id/eprint/37733/ https://ieeexplore.ieee.org/document/10215914 |
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