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Hand Rehabilitation Learning System With an Exoskeleton Robotic Glove

Zhou Ma, Pinhas Ben‐Tzvi, Jerome Danoff

发表年份
2015
引用次数
87

摘要

This paper presents a hand rehabilitation learning system, the SAFE Glove, a device that can be utilized to enhance the rehabilitation of subjects with disabilities. This system is able to learn fingertip motion and force for grasping different objects and then record and analyze the common movements of hand function including grip and release patterns. The glove is then able to reproduce these movement patterns in playback fashion to assist a weakened hand to accomplish these movements, or to modulate the assistive level based on the user's or therapist's intent for the purpose of hand rehabilitation therapy. Preliminary data have been collected from healthy hands. To demonstrate the glove's ability to manipulate the hand, the glove has been fitted on a wooden hand and the grasping of various objects was performed. To further prove that hands can be safely driven by this haptic mechanism, force sensor readings placed between each finger and the mechanism are plotted. These experimental results demonstrate the potential of the proposed system in rehabilitation therapy.

关键词

ExoskeletonWired gloveRehabilitationMechanism (biology)Haptic technologyComputer sciencePhysical medicine and rehabilitationSimulationHuman–computer interactionArtificial intelligence

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