The classification of EEG-based wink signals: A CWT-Transfer Learning pipeline

QR Code

The classification of EEG-based wink signals: A CWT-Transfer Learning pipeline

Brain–Computer Interface technology plays a vital role in facilitating post-stroke patients’ ability to carry out their daily activities of living. The extraction of features and the classification of electroencephalogram (EEG) signals are pertinent parts in enabling such a system. This research inv...

Full description

Bibliographic Details
Main Authors:	Jothi Letchumy, Mahendra Kumar, Rashid, Mamunur, Musa, Rabiu Muazu, Mohd Azraai, Mohd Razman, Norizam, Sulaiman, Rozita, Jailani, Anwar, P. P. Abdul Majeed
Format:	Article
Language:	English
Published:	Elsevier 2021
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/30701/ http://umpir.ump.edu.my/id/eprint/30701/2/The%20classification%20of%20EEG-based%20wink%20signals.pdf

Similar Items

The classification of EEG-based winking signals: a transfer learning and random forest pipeline
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

An evaluation of different fast fourier transform - transfer learning pipelines for the classification of wink-based EEG signals
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2020)

The Classification of Wink-Based EEG Signals: The Identification of Significant Time-Domain Features
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

The classification of wink-based eeg signals by means of transfer learning models
by: Jothi Letchumy, Mahendra Kumar
Published: (2021)

Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipeline
by: Islam, Md Nahidul, et al.
Published: (2021)

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

The classification of electrooculography signals: A significant feature identification via mutual information
by: Hwa, Phua Jia, et al.
Published: (2022)

A hybrid scheme for AEP based hearing deficiency diagnosis: CWT and convoluted k-nearest neighbour (CKNN) pipeline
by: Islam, Md Nahidul, et al.
Published: (2022)

The classification of blinking: an evaluation of significant time-domain features
by: Kai, Gavin Lim Jiann, et al.
Published: (2022)

Wink based facial expression classification using machine learning approach
by: Rashid, Mamunur, et al.
Published: (2020)

Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review
by: Rashid, Mamunur, et al.
Published: (2020)

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

The power level control of a pressurised water reactor nuclear power plant
by: Mahendra Kumar, Jothi Letchumy, et al.
Published: (2020)

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

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

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

The classification of skateboarding tricks via transfer learning pipelines
by: Muhammad Amirul, Abdullah, et al.
Published: (2021)

The classification of heartbeat PCG signals via transfer learning
by: Almanifi, Omair Rashed Abdul Wareth, et al.
Published: (2021)

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

Interpretation of Human Thought using EEG Signals and LabVIEW
by: Norizam, Sulaiman, et al.
Published: (2014)

The diagnosis of diabetic retinopathy by means of transfer learning and fine-tuned dense layer pipeline
by: Abdo Salman, Abdulaziz, et al.
Published: (2020)

The diagnosis of COVID-19 through X-ray images via transfer learning and fine-tuned dense layer on pipeline
by: Amiir Haamzah, Mohamed Ismail, et al.
Published: (2021)

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

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

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

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

Analysis of auditory evoked potential signals using wavelet transform and deep learning techniques
by: Islam, Md Nahidul, et al.
Published: (2020)

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

Microsleep Predicting Comparison Between LSTM and ANN Based on the Analysis of Time Series EEG Signal
by: Hasan, Md Mahmudul, et al.
Published: (2024)

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

The animal classification: An evaluation of different transfer learning pipeline
by: Ee, Ken-ji, et al.
Published: (2021)

The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
by: Rashid, Mamunur, et al.
Published: (2021)

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

Recent Trends and Open Challenges in EEG based Brain-Computer Interface Systems
by: Rashid, Mamunur, et al.
Published: (2019)

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

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

Ensemble-based machine learning models for vehicle drivers’ fatigue state detection utilizing EEG signals
by: Hasan, Md Mahmudul, et al.
Published: (2024)

The identification of RFID signal using k-means for pallet-level tagging
by: Ahmad Fakhri, Ab. Nasir, et al.
Published: (2020)

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