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Open AccessArticle10.1299/kikaic.75.2267

Power-Assist Glove Operated by Predicting the Grasping Mode(Mechanical Systems)

Kiminori TOYA,Toyomi MIYAGAWA,Yuji Kubota-2009-01-01-TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C

TL;DRAbstract

The operation system that detects the grasping intention of people has been developed. In order to operate the Power-Assist Glove with appropriate drive mode corresponding to human grasping intention, we focused on three principal grasping modes and showed that each mode could be predicted by analyzing the initial movement patterns of the finger joint angles. Applying the pattern classification method to the control algorithm, the operation system predicts the grasp mode from slight movement of the fingers. As a result, the operation system achieved an 80% success rate in distinguishing the grasping modes of people. The Power-Assist Glove features a simple drive mechanism using soft actuators, that endows it with great affinity for human movement.

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The operation system that detects the grasping intention of people has been developed. In order to operate the Power-Assist Glove with appropriate drive mode corresponding to human grasping intention, we focused on three principal grasping modes and showed that each mode could be predicted by analyzing the initial movement patterns of the finger joint angles. Applying the pattern classification method to the control algorithm, the operation system predicts the grasp mode from slight movement of the fingers. As a result, the operation system achieved an 80% success rate in distinguishing the grasping modes of people. The Power-Assist Glove features a simple drive mechanism using soft actuators, that endows it with great affinity for human movement.

Keywords

GRASPMode (computer interface)ActuatorPower (physics)Wired gloveComputer scienceMovement (music)Mechanism (biology)

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