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Appl. Sci. 2017, 7(4), 358;

Multiple Sensors Based Hand Motion Recognition Using Adaptive Directed Acyclic Graph

School of Automation, Wuhan University of Technology, Wuhan 430070, China
School of Computing, The University of Portsmouth, Portsmouth PO1 3HE, UK
School of Electrical and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, China
Author to whom correspondence should be addressed.
Academic Editors: Plamen Angelov and José Antonio Iglesias Martínez
Received: 19 February 2017 / Revised: 28 March 2017 / Accepted: 30 March 2017 / Published: 5 April 2017
(This article belongs to the Special Issue Human Activity Recognition)
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The use of human hand motions as an effective way to interact with computers/robots, robot manipulation learning and prosthetic hand control is being researched in-depth. This paper proposes a novel and effective multiple sensor based hand motion capture and recognition system. Ten common predefined object grasp and manipulation tasks demonstrated by different subjects are recorded from both the human hand and object points of view. Three types of sensors, including electromyography, data glove and FingerTPS are applied to simultaneously capture the EMG signals, the finger angle trajectories, and the contact force. Recognising different grasp and manipulation tasks based on the combined signals is investigated by using an adaptive directed acyclic graph algorithm, and results of comparative experiments show the proposed system with a higher recognition rate compared with individual sensing technology, as well as other algorithms. The proposed framework contains abundant information from multimodal human hand motions with the multiple sensor techniques, and it is potentially applicable to applications in prosthetic hand control and artificial systems performing autonomous dexterous manipulation. View Full-Text
Keywords: EMG; contact force; data glove; adaptive directed acyclic graph EMG; contact force; data glove; adaptive directed acyclic graph

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Xue, Y.; Ju, Z.; Xiang, K.; Chen, J.; Liu, H. Multiple Sensors Based Hand Motion Recognition Using Adaptive Directed Acyclic Graph. Appl. Sci. 2017, 7, 358.

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