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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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Main Authors: Almassri, Ahmed, Koyanagi, Ken'ichi, Wada, Chikamune, Horio, Keiichi, Wan Hasan, Wan Zuha
Format: Conference or Workshop Item
Published: IEEE 2023
Online Access:http://psasir.upm.edu.my/id/eprint/37733/
https://ieeexplore.ieee.org/document/10215914
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spelling 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
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description 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.
format Conference or Workshop Item
author Almassri, Ahmed
Koyanagi, Ken'ichi
Wada, Chikamune
Horio, Keiichi
Wan Hasan, Wan Zuha
spellingShingle 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
publisher IEEE
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/37733/
https://ieeexplore.ieee.org/document/10215914
_version_ 1781706633162784768
score 13.18916

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