A Learning‐Based Sensor Array for Untethered Soft Prosthetic Hand Aiming at Restoring Tactile Sensation

Endowing tactile feedback for prosthetic hands is profound for upper‐limb amputees. However, existing prosthetic hands are generally not in possession of the embedded sensory feedback. Herein, a flexible tactile sensor array which can be integrated into an untethered soft prosthetic hand to achieve...

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Published in:Advanced intelligent systems Vol. 6; no. 10
Main Authors: Xu, Haipeng, Rong, Yu, Ren, Jieji, Zhang, Ningbin, Zhao, Yi, Yang, Xinyu, Zhu, Zhenpu, Gu, Guoying
Format: Journal Article
Language:English
Published: Weinheim John Wiley & Sons, Inc 01.10.2024
Wiley
Subjects:
Accuracy
Algorithms
Amputation
Arrays
Classification
Feedback
Fingers
Grasping
Hand (anatomy)
Learning
learning-based alogrithms
Object recognition
Polyethylene terephthalate
Pressure distribution
Prostheses
prosthetic hands
Sensor arrays
Sensors
Sensory feedback
sensory feedbacks
soft robots
Tactile discrimination
tactile sensor arrays
Tactile sensors (robotics)
Touch
ISSN:2640-4567, 2640-4567
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Abstract Endowing tactile feedback for prosthetic hands is profound for upper‐limb amputees. However, existing prosthetic hands are generally not in possession of the embedded sensory feedback. Herein, a flexible tactile sensor array which can be integrated into an untethered soft prosthetic hand to achieve static and dynamic discrimination tasks is presented. The flexible piezoresistive sensory arrays with 25 sensor units which can be arranged on five fingers of the soft prosthetic hand are fabricated. According to the collected large‐scale tactile dataset (including pressure distribution and pressure magnitude) during different grasping tasks, a learning‐based classification model that can reveal the correspondences between tactile information and object attributes while interacting with touched objects is developed. To transfer tactile information extracted from tactile sensor arrays, a wearable vibrotactile feedback band with a spatial coding feedback strategy is implemented by selectively activating vibrotactile motors located on the skin of the upper arm. In a set of tests performed by an individual with transradial amputation and eight able‐bodied subjects, the soft prosthetic hand integrated with tactile sensor arrays can help the users regain finger tactile sensation, discriminate grasped objects, and achieve real‐time dynamic rolling detection. A flexible piezoresistive sensory array with 25 sensor units is presented and integrated into an unthethered soft prosthetic hand. Based on the learning‐based algorithm, tactile information can be extracted when the sensory soft hand interacts with environments, which can help users restore tactile sensation in both static and dynamic tasks.
AbstractList Endowing tactile feedback for prosthetic hands is profound for upper‐limb amputees. However, existing prosthetic hands are generally not in possession of the embedded sensory feedback. Herein, a flexible tactile sensor array which can be integrated into an untethered soft prosthetic hand to achieve static and dynamic discrimination tasks is presented. The flexible piezoresistive sensory arrays with 25 sensor units which can be arranged on five fingers of the soft prosthetic hand are fabricated. According to the collected large‐scale tactile dataset (including pressure distribution and pressure magnitude) during different grasping tasks, a learning‐based classification model that can reveal the correspondences between tactile information and object attributes while interacting with touched objects is developed. To transfer tactile information extracted from tactile sensor arrays, a wearable vibrotactile feedback band with a spatial coding feedback strategy is implemented by selectively activating vibrotactile motors located on the skin of the upper arm. In a set of tests performed by an individual with transradial amputation and eight able‐bodied subjects, the soft prosthetic hand integrated with tactile sensor arrays can help the users regain finger tactile sensation, discriminate grasped objects, and achieve real‐time dynamic rolling detection.
Endowing tactile feedback for prosthetic hands is profound for upper‐limb amputees. However, existing prosthetic hands are generally not in possession of the embedded sensory feedback. Herein, a flexible tactile sensor array which can be integrated into an untethered soft prosthetic hand to achieve static and dynamic discrimination tasks is presented. The flexible piezoresistive sensory arrays with 25 sensor units which can be arranged on five fingers of the soft prosthetic hand are fabricated. According to the collected large‐scale tactile dataset (including pressure distribution and pressure magnitude) during different grasping tasks, a learning‐based classification model that can reveal the correspondences between tactile information and object attributes while interacting with touched objects is developed. To transfer tactile information extracted from tactile sensor arrays, a wearable vibrotactile feedback band with a spatial coding feedback strategy is implemented by selectively activating vibrotactile motors located on the skin of the upper arm. In a set of tests performed by an individual with transradial amputation and eight able‐bodied subjects, the soft prosthetic hand integrated with tactile sensor arrays can help the users regain finger tactile sensation, discriminate grasped objects, and achieve real‐time dynamic rolling detection. A flexible piezoresistive sensory array with 25 sensor units is presented and integrated into an unthethered soft prosthetic hand. Based on the learning‐based algorithm, tactile information can be extracted when the sensory soft hand interacts with environments, which can help users restore tactile sensation in both static and dynamic tasks.
Author Xu, Haipeng
Gu, Guoying
Zhao, Yi
Yang, Xinyu
Zhu, Zhenpu
Zhang, Ningbin
Ren, Jieji
Rong, Yu
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Snippet Endowing tactile feedback for prosthetic hands is profound for upper‐limb amputees. However, existing prosthetic hands are generally not in possession of the...
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SubjectTerms Accuracy
Algorithms
Amputation
Arrays
Classification
Feedback
Fingers
Grasping
Hand (anatomy)
Learning
learning-based alogrithms
Object recognition
Polyethylene terephthalate
Pressure distribution
Prostheses
prosthetic hands
Sensor arrays
Sensors
Sensory feedback
sensory feedbacks
soft robots
Tactile discrimination
tactile sensor arrays
Tactile sensors (robotics)
Touch
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Title A Learning‐Based Sensor Array for Untethered Soft Prosthetic Hand Aiming at Restoring Tactile Sensation
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