Cover Image

Design and development of a thought controlled intelligent robot chair with communication aid

Doctor of Philosophy in Mechatronic Engineering

Saved in:
Bibliographic Details
Main Author: Sathees Kumar, Nataraj
Other Authors: Abdul Hamid, Adom, Prof. Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2016
Subjects:
Brain-computer interfaces
Electroencephalography
Chairs for people with disabilities
Artificial intelligence
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77197
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-77197
record_format dspace
spelling my.unimap-771972022-11-25T01:06:05Z Design and development of a thought controlled intelligent robot chair with communication aid Sathees Kumar, Nataraj Abdul Hamid, Adom, Prof. Dr. Brain-computer interfaces Electroencephalography Chairs for people with disabilities Artificial intelligence Doctor of Philosophy in Mechatronic Engineering The fundamental movements like walking and speech communications are the basic needs of human beings in their daily life. Differentially Enabled (DE) communities have functional limitations that vary from primary/complicated activities such as weakening of the muscles, spasms, movement related problems, stroke, trouble swallowing and dysarthria. In these cases, Electroencephalogram (EEG) signals, being a measure of brain activity, which is responsible for the control of voluntary muscle movements through nervous system can be used to develop an alternative communication system or Brain Machine Interface’s (BMI). This research focuses on analyzing different frequency domain algorithms to recognize the navigational tasks along with communication tasks to develop an EEG based intelligent robot chair with communication aid (IRCC). IRCC involves classification of navigational tasks (Forward, Left, Right & Relax) and tasks related to speech (Yes, No and Help), to provide a navigation system with communication aid for the DE patients. Twenty healthy naive-, age-, and gender-matched normal subjects were participated in the data collection procedure while eight-channel wireless EEG signal was being recorded. Two simple data acquisition paradigms were implemented based on thought evoked potentials (TEP) and visually evoked potentials (VEP) to determine the significant correlations between the brain dynamics and IRCC tasks. Furthermore, the developed database was analyzed in both customized modes and generalized modes. The recorded brain wave signals are preprocessed to remove the interference waveforms and segmented into frame samples of equal length. The frame signals are categorized into six frequency band signals, (namely Delta, Theta, Alpha, Beta, Gamma-1 and Gamma-2), and used to extract the features. To classify the IRCC tasks, four distinctive frequency-domain feature extraction methods were compared (namely higher order spectra (HOS), cross correlation analysis, band power (BP) analysis and power spectral density (PSD)). Also, three different approaches based on crosscorrelation technique are proposed to estimate the interdependence between the frame signals, frequency bands and electrode positions (namely, statistical features using cross correlated two consecutive frames based spectral bands (CF), statistical features using cross correlated frame based combination of spectral bands (CFB), and statistical features using cross correlated frame based combination of electrode channels (CEC). 2016 2022-11-25T01:03:26Z 2022-11-25T01:03:26Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77197 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Brain-computer interfaces
Electroencephalography
Chairs for people with disabilities
Artificial intelligence
spellingShingle Brain-computer interfaces
Electroencephalography
Chairs for people with disabilities
Artificial intelligence
Sathees Kumar, Nataraj
Design and development of a thought controlled intelligent robot chair with communication aid
description Doctor of Philosophy in Mechatronic Engineering
author2 Abdul Hamid, Adom, Prof. Dr.
author_facet Abdul Hamid, Adom, Prof. Dr.
Sathees Kumar, Nataraj
format Thesis
author Sathees Kumar, Nataraj
author_sort Sathees Kumar, Nataraj
title Design and development of a thought controlled intelligent robot chair with communication aid
title_short Design and development of a thought controlled intelligent robot chair with communication aid
title_full Design and development of a thought controlled intelligent robot chair with communication aid
title_fullStr Design and development of a thought controlled intelligent robot chair with communication aid
title_full_unstemmed Design and development of a thought controlled intelligent robot chair with communication aid
title_sort design and development of a thought controlled intelligent robot chair with communication aid
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2016
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77197
_version_ 1753972993505099776
score 13.222552

Similar Items