Brain Computer Interface: Classification of EEG for Left and Right Wrist Movements using AR Modeling and Bhattacharya Distance

Muhammed Shanir, Wassem Raza, David Powers

    Research output: Contribution to conferencePaper

    4 Citations (Scopus)

    Abstract

    This paper presents classification of wrist movements (Left and Right) using Autoregressive modeling (AR). Here the features were extracted from Electro Encephalographic signals and AR modeled using Burg method. The simulation results show that by using AR modeling classification of Left and Right wrist movements can be classified with accuracy up to 98.75% and 96.8% respectively for executed and imaginary movements.

    Original languageEnglish
    Pages7-10
    Number of pages4
    DOIs
    Publication statusPublished - 1 Dec 2011
    EventInternational Conference on Intelligent Sensors, Sensor Networks and Information Processing -
    Duration: 6 Dec 2011 → …

    Conference

    ConferenceInternational Conference on Intelligent Sensors, Sensor Networks and Information Processing
    Period6/12/11 → …

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  • Cite this

    Shanir, M., Raza, W., & Powers, D. (2011). Brain Computer Interface: Classification of EEG for Left and Right Wrist Movements using AR Modeling and Bhattacharya Distance. 7-10. Paper presented at International Conference on Intelligent Sensors, Sensor Networks and Information Processing, . https://doi.org/10.1109/ISSNIP.2011.6146530