CLASSIFICATION OF EEG DATA SET FOR UPPER LIMB MOTOR CONTROL

Tejinder Kaur, Prof. Birinder Singh

Abstract


Brain-computer interface is a technique which acquires electrical signals from the brain and converts them into corresponding control commands for the external devices. It allows people to interact with machines independent of muscles and enable the paralyzed people to communicate with their environment. In the proposed work the EEG data is collected from 10 different subjects during three basic operations of left/right hand which are i)without any movement with open eye, ii) imagination of opening and closing of left/right hand fist, iii)opening and closing of left/right fist. Research shows that most of the variations in the EEG signals were observed over the sensory motor region. The proposed work is to compare three EEG recordings of hand movement.

Keywords


Brain Computer Interface (BCI); Motor Control; Electroencephalogram (EEG); Amyotrophic Lateral Sclerosis(ALS); Electrocorticogram (ECoG).

Full Text:

PDF


DOI: https://doi.org/10.26483/ijarcs.v8i8.4679

Refbacks

  • There are currently no refbacks.




Copyright (c) 2017 International Journal of Advanced Research in Computer Science