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Computer Interface for the Disabled Using Gyro-sensors and Artificial Neural Network  

안용식 (건국대학교 의과대학 의학공학부)
엄광문 (건국대학교 의과대학 의학공학부)
김철승 (건국대학교 의과대학 의학공학부)
허지운 (건국대학교 의과대학 의학공학부)
나유진 (모빌솔루션(주))
Publication Information
Journal of Biomedical Engineering Research / v.24, no.5, 2003 , pp. 411-419 More about this Journal
Abstract
This paper aims at developing 'gyro-mouse' which provides decent and comfortable human-computer interface that supports the usage of such software as an internet-browser in PC for the people paralyzed in upper limbs. This interface operates on information collected from head movement to get the cursor control. The interface is composed of two modules. One is hardware module in which the head horizontal and vertical angular velocities are detected and transmitted into PC. The other is a PC software that translates the received data into movement and click signals of the mouse. The ANN (artificial neural network) learns the quick nodding pattern of each user as click input so that it can provide user-friendly interface. The performance of the system was evaluated by three indices that are click recognition rate. error in cursor position control. and click rate of the moving target box. The performance result of the gyro-mouse was compared with that of the optical-mouse to assess the efficiency of the gyro-mouse. The average click recognition rate was 93%, average error in cursor position control was 1.4∼5 times of optical mouse. and the click rate with 50 pixels target box was 40%(30 clicks/min) to that of optical mouse. The click rate increased monotonously with the number of trial from 35% to 44%. The suggested system is expected to provide a new possibility to communicate with the society.
Keywords
Human-computer interface; Gyroscopes; Artificial neural network; Mouse; Move; Click;
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