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Published in:
2015 | OriginalPaper | Chapter
Encoding/Decoding Expressive EEG Signal Variability Using IAF/ASDM Technique towards EEG-Controlled Robotic System Development
Authors : Chiemela Onunka, Glen Bright, Riaan Stopforth
Published in: Machine Vision and Mechatronics in Practice
Publisher: Springer Berlin Heidelberg
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EEG-controlled mechatronic and robotic systems provides additional flexibility and control option for both the disabled and able body persons. Providing adaptive control option through EEG as the source control signal requires efficient embedded technology system for EEG feature and artefact extraction toward robot motion control. The encoding and decoding of EEG signal allows for efficient EEG artefact extraction and selection in embedded systems.
This paper presents the decoding and encoding of expressive EEG signal recorded from physiological expressions. The EEG signals are generated from physiological expressions and provide the base signal in the analysis of EEG signal. Encoding and decoding of the Expressive EEG signal allowed for further development of robotic system motion control commands.