Interpretation of Human Thought using EEG Signals and LabVIEW

QR Code

Interpretation of Human Thought using EEG Signals and LabVIEW

This document describes the analysis of Electroenchaplogram (EEG) or brain signals using computational tool (LabVIEW) to interpret human thought such as moving forward, backward, turn right, turn left and to stop. This study is conducted to assist the disable people to communicate with external envi...

Full description

Bibliographic Details
Main Authors:	Norizam, Sulaiman, Cheng, Chee Hau, Amran, Abdul Hadi, Mahfuzah, Mustafa, M. S., Jadin
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/7569/ http://umpir.ump.edu.my/id/eprint/7569/1/PID3459027.pdf

Similar Items

Offline LabVIEW-based EEG Signals Analysis for Human Stress Monitoring
by: Norizam, Sulaiman, et al.
Published: (2019)

Offline LabVIEW-Based EEG Signals Analysis to Detect Vehicle Driver Microsleep
by: Norizam, Sulaiman, et al.
Published: (2020)

Characterization of respiratory conditions using labVIEW and digital spirometer
by: Ibrahim, Siti Noorjannah, et al.
Published: (2018)

Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals
by: Norizam, Sulaiman, et al.
Published: (2024)

Acoustic emission techniques for early detection of bearing faults using LabVIEW
by: N., Saad, et al.
Published: (2008)

Pattern matching for automatic sign language translation system using LabVIEW
by: Domingo, Andreas, et al.
Published: (2007)

Parallel manipulator for auto tracking system: virtual prototyping using LabVIEW- Solidworks
by: Ramli, Zalifah, et al.
Published: (2012)

An underwater acoustic OFDM system based on NI CompactDAQ and LabVIEW
by: Chen, Jaden, et al.
Published: (2019)

Development of smart security system for building or laboratory entrance based on human’s brain (EEG) and voice signals
by: Norizam, Sulaiman, et al.
Published: (2018)

Wideband vibration control in multi degree of freedom system: experimental verification using LabVIEW
by: Ladipo, Ismail, et al.
Published: (2012)

Ethernet Control AC Motor via PLC using LabVIEW
by: Barsoum, Nader, et al.
Published: (2011)

Integration of LabVIEW for novel interactive learning courseware on digital electronics
by: Yap, Wing Fen, et al.
Published: (2014)

Real time monitoring and analysis of tropical impact on PV performance based on LabVIEW architecture
by: Ya'acob, Mohd Effendy, et al.
Published: (2014)

Accelerometer based structural health monitoring system on the go: Developing monitoring systems with NI LabVIEW
by: Abdullahi, Salami Ifedapo, et al.
Published: (2019)

Analysis of EEG Features to Control Multiple Devices
by: Rashid, Mamunur, et al.
Published: (2018)

A LabVIEW based data acquisition system for vibration monitoring and analysis
by: Abdul Muthalif, Asan Gani, et al.
Published: (2002)

Classification of EEG Signal for Body Earthing Application
by: Noor Aisyah , Ab Rahman, et al.
Published: (2017)

Connection of siemens PLC to labview using OPC
by: Mustafa, Mahfuzah
Published: (2004)

Classification of EEG Spectrogram Using ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013)

Active vibration isolation system for free space optic communication: virtual prototyping using LabVIEW-SolidWorks
by: A. Rahim, Syazwani, et al.
Published: (2012)

A LabVIEW-based implementation of real-time underwater acoustic OFDM system
by: Chen, Jaden, et al.
Published: (2018)

EEG mechanism interaction to evaluate vehicle’s driver microsleep
by: Hazim, Yusof, et al.
Published: (2022)

The classification of EEG signal processing using different machine learning techniques for BCI application
by: Rashid, Mamunur, et al.
Published: (2019)

Water level monitoring and controlling of water treatment plants using wireless sensors in LabVIEW
by: Obeed, Kamal Mushina
Published: (2018)

A study of engineering student IQ and EQ based on analyzing of electroencephalogram (EEG) signals
by: Afiqah, Norsepri, et al.
Published: (2023)

Investigation of electroencephalogram (EEG) sensor position for brain-controlled home automation
by: Norizam, Sulaiman, et al.
Published: (2022)

Determination and classification of human stress index using non-parametric analysis of EEG signals
by: Norizam, Sulaiman
Published: (2015)

Analysis of EEG features for brain computer interface application
by: Rashid, Mamunur, et al.
Published: (2019)

Connection siemens PLC (programmable logic control) to labview using OPC (ole for process control)
by: Mahfuzah, Mustafa
Published: (2004)

Investigation of time-domain and frequency-domain based features to classify the EEG auditory evoked potentials (AEPs) responses
by: Islam, Md Nahidul, et al.
Published: (2022)

Offline EEG-based DC Motor Control for Wheelchair Application
by: Norizam, Sulaiman, et al.
Published: (2019)

Development of EEG-based system to identify student learning attention ability
by: Norizam, Sulaiman, et al.
Published: (2022)

The Classification of Hallucination: The Identification of Significant Time-Domain EEG Signals
by: Chin, Hau Lim, et al.
Published: (2022)

2-D FDTD calculation of specific absorption rate of hyperopic and myopic human eye : LabVIEW-based approach
by: Gasmelseed, Akram, et al.
Published: (2008)

An effectiveness of EEG signal based on body earthing application
by: Zarith Liyana, Zahari, et al.
Published: (2022)

EEG Spectrogram Classification Employing ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013)

Fatigue State Detection Through Multiple Machine Learning Classifiers Using EEG Signal
by: Hasan, Md Mahmudul, et al.
Published: (2023)

Novel Methods for Stress Features Identification using EEG Signals
by: Norizam, Sulaiman, et al.
Published: (2011)

An intelligent system for hearing disorder detection using auditory evoked potential (AEP) signals
by: Islam, Md Nahidul, et al.
Published: (2021)

Enhancement of morlet mother wavelet in time–frequency domain in electroencephalogram (EEG) signals for driver fatigue classification
by: Rafiuddin, Abdubrani, et al.
Published: (2023)