DeepAI AI Chat
Log In Sign Up

EEG Wheelchair for People of Determination

by   Mariam AlAbboudi, et al.

The aim of this paper is to design and construct an electroencephalograph (EEG) based brain-controlled wheelchair to provide a communication bridge from the nervous system to the external technical device for people of determination or individuals suffering from partial or complete paralysis. EEG is a technique that reads the activity of the brain by capturing brain signals non-invasively using a special EEG headset. The signals acquired go through pre-processing, feature extraction and classification. This technique allows human thoughts alone to be converted to control the wheelchair. The commands used are moving to the right, left, forward, and backward and stop. The brain signals are acquired using the Emotiv Epoc headset. Discrete Wavelet Transform is used for feature extraction and Support Vector Machine (SVM) is used for classification.


page 2

page 3


Analysis of Relation between Motor Activity and Imaginary EEG Records

Electroencephalography (EEG) signals signals are often used to learn abo...

Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks

This work proposes a hybrid Brain Computer Interface system for the auto...

Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIs

Brain-computer interfaces (BCIs) have been gaining momentum in making hu...

Automated Diagnosis of Epilepsy Employing Multifractal Detrended Fluctuation Analysis Based Features

This contribution reports an application of MultiFractal Detrended Fluct...

Ensemble Classifier for Eye State Classification using EEG Signals

The growing importance and utilization of measuring brain waves (e.g. EE...

Shared control schematic for brain controlled vehicle based on fuzzy logic

Brain controlled vehicle refers to the vehicle that obtains control comm...