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Robust Human Machine Interface Based on Head Movements Applied to Assistive Robotics
2013
The Scientific World Journal
This paper presents an interface that uses two different sensing techniques and combines both results through a fusion process to obtain the minimum-variance estimator of the orientation of the user's head. Sensing techniques of the interface are based on an inertial sensor and artificial vision. The orientation of the user's head is used to steer the navigation of a robotic wheelchair. Also, a control algorithm for assistive technology system is presented. The system is evaluated by four
doi:10.1155/2013/589636
pmid:24453877
pmcid:PMC3888755
fatcat:o3y5sr22kfgc5n4uexmdwpvuga