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Design of a Neural Interface Based System for Control of Robotic Devices

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Information and Software Technologies (ICIST 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 319))

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Abstract

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.

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Author information

Authors and Affiliations

  1. Software Engineering Department, Kaunas University of Technology, Studentų 50, LT-51368, Kaunas, Lithuania

    Ignas Martisius, Mindaugas Vasiljevas, Kestutis Sidlauskas, Rutenis Turcinas, Ignas Plauska & Robertas Damasevicius

Authors
  1. Ignas Martisius
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  2. Mindaugas Vasiljevas
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  3. Kestutis Sidlauskas
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  4. Rutenis Turcinas
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  5. Ignas Plauska
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  6. Robertas Damasevicius
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Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Studentu g. 50-313a, LT-51368, Kaunas, Lithuania

    Tomas Skersys  & Rimantas Butleris  & 

  2. Kaunas University of Technology, Studentu g. 50-309a, LT-51368, Kaunas, Lithuania

    Rita Butkiene

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© 2012 Springer-Verlag Berlin Heidelberg

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Martisius, I., Vasiljevas, M., Sidlauskas, K., Turcinas, R., Plauska, I., Damasevicius, R. (2012). Design of a Neural Interface Based System for Control of Robotic Devices. In: Skersys, T., Butleris, R., Butkiene, R. (eds) Information and Software Technologies. ICIST 2012. Communications in Computer and Information Science, vol 319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33308-8_25

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  • DOI: https://doi.org/10.1007/978-3-642-33308-8_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33307-1

  • Online ISBN: 978-3-642-33308-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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