Title
Learning Emg Control Of A Robotic Hand: Towards Active Prostheses
Abstract
We introduce a method based on support vector machines which can detect opening and closing actions of the human thumb, index finger, and other fingers recorded via surface EMG only. The method is shown to be robust across sessions and can be used independently of the position of the arm. With these stability criteria, the method is ideally suited for the control of active prosthesis with a high number of active degrees of freedom. The method is successfully demonstrated on a robotic four-finger hand, and can be used to grasp objects.
Year
DOI
Venue
2006
10.1109/ROBOT.2006.1642128
2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10
Keywords
Field
DocType
electrodes,robot control,degree of freedom,mechatronics,support vector machine,support vector machines,robustness,indexation,motion control
Motion control,Index finger,GRASP,Thumb,Robotic hand,Control theory,Simulation,Support vector machine,Electromyography,Control engineering,Engineering
Conference
Volume
Issue
ISSN
2006
1
1050-4729
Citations 
PageRank 
References 
57
4.12
2
Authors
2
Name
Order
Citations
PageRank
Sebastian Bitzer1899.32
P. Patrick Van Der Smagt227435.19