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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Design of a Neural Interface Based System for Control of Robotic Devices
verfasst von : Ignas Martisius, Mindaugas Vasiljevas, Kestutis Sidlauskas, Rutenis Turcinas, Ignas Plauska, Robertas Damasevicius
Erschienen in: Information and Software Technologies
Verlag: Springer Berlin Heidelberg
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The paper describes the design of a Neural Interface Based (NIS) system for control of external robotic devices. The system is being implemented using the principles of component-based reuse and combines modules for data acquisition, data processing, training, classification, direct and the NIS-based control as well as evaluation and graphical representation of results. The system uses the OCZ Neural Impulse Actuator to acquire the data for control of Arduino 4WD and Lynxmotion 5LA Robotic Arm devices. The paper describes the implementation of the system’s components as well as presents the results of experiments.