Application of machine learning in attentiveness detection from EEG signal

Application of machine learning in attentiveness detection from EEG signal

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Détails bibliographiques
Auteurs principaux:	Ridi, Sadia Sobhana, Tandra, Jannatul Farzana, Emon, Mahmudul Hasan, Mahmud, Md Ridwan, Tabassum, Sumaiya
Autres auteurs:	Ashraf, Faisal Bin
Format:	Thèse
Langue:	English
Publié:	Brac University 2023
Sujets:	Textual representation Brain signal BCI EEG LRR CNN ERP Brain > Computer simulation Behavioral assessment > Data processing
Accès en ligne:	http://hdl.handle.net/10361/21791

Documents similaires

Classi fication of motor imagery tasks based on BCI paradigm
par: Hossain, Nahid, et autres
Publié: (2019)

EEG signals analysis for motor imagery brain computer interface
par: Rahman, La z Maruf, et autres
Publié: (2019)

Emotion recognition using EEG signal and deep learning approach
par: Islam, Sayedi Hassan Bin, et autres
Publié: (2019)

Optimizing cognitive efficiency of emotiv EPOC and controlling wheelchair through it
par: Chowdhury, Pritom, et autres
Publié: (2015)

Detection of mind wandering using EEG signals
par: Tasika, Nadia Jebin, et autres
Publié: (2020)

Detecting brain tumor using deep neural networks from MRI images
par: Imamuzzaman, A.S.M., et autres
Publié: (2021)

IoT based brain-wave assistive system for paralyzed individuals
par: Monowara, Syeda Maliha, et autres
Publié: (2021)

In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
par: Haque, Hossain MD. Hasibul, et autres
Publié: (2024)

Emotion recognition using brian signals based on time-frequency analysis and supervised learning algorithm
par: Hossain, Prommy Sultana Ferdawoos, et autres
Publié: (2018)

Brain-Gain in Bangladesh: What makes it possible?
par: Rahman, Shahidur
Publié: (2016)

Cognitive efficiency in robot control by Emotiv EPOC
par: Chowdhury, Pritom, et autres
Publié: (2016)

Exploring cognitive load and emotional states for the visually impaired
par: Afroz, Sharmin, et autres
Publié: (2019)

Applying tDCS over the dominant Hemisphere to observe event-related Desynchronization
par: Khan, Akif Ahmed, et autres
Publié: (2020)

Predicting brain age from EEG signals using machine learning and neural network
par: Pratanu, Abul Mushfique Muslah, et autres
Publié: (2023)

Nanomaterials for diagnosis and treatment of brain cancer
par: Tonny, Tamanna Shahrin
Publié: (2024)

Pediatric traumatic brain injury /
par: Snow, Jeffrey H.
Publié: (1994)

Electroencephalography based brain controlled grasp and lift
par: Chakraborty, Pritam, et autres
Publié: (2022)

Detecting navigation challenges for the visually impaired with mobile monitoring of biosignal
par: Islam, Mohammad Waseq ul, et autres
Publié: (2021)

Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
par: Farzana, Maisha, et autres
Publié: (2021)

A review: combination of photon emission & genome engineering in brain stimulation
par: Audithi, Atiya Sunjida
Publié: (2024)

A review on the occurrence of brain tumor in adults and pediatrics and the associated risk factors
par: Bhuiya, Nabila
Publié: (2023)

Brain drain and brain gain

Pattern of brain tumor among admitted patients in a specialized center of Dhaka city: a cross sectional study
par: Tuly, Tangia Islam
Publié: (2018)

Globalisation, migration and knowledge generation: a study on higher education institutions in Bangladesh
par: Rahman, Shahidur
Publié: (2019)

Consumer behaviour analysis using EEG signals for Neuromarketing Application
par: Amin, Chowdhury Rabith, et autres
Publié: (2020)

Stress detection for visually impaired people using EEG signals based on extracted features from time-frequency domain
par: Sultana, Samia
Publié: (2023)

The international mobility of talent

The divine banquet of the brain and other essays /
par: Critchley, Macdonald
Publié: (1979)

Prediction of Epileptic Seizure onset based on EEG signals and learning approaches
par: Nazim, Tausif, et autres
Publié: (2021)

Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
par: Islam, Md. Tahmidul, et autres
Publié: (2023)

An efficient approach for binary classification in brain tumor detection using convolutional neural network
par: Islam, MD. Arman, et autres
Publié: (2023)

Brain image fMRI data classification and graphical representation of visual object
par: Tasneem, Nazifa Afroza, et autres
Publié: (2019)

Machine learning-based approach on predicting online shopping addiction using EEG signals
par: Nawer, Nafisa, et autres
Publié: (2023)

How the brain learns /
par: Sousa, David A.
Publié: (2006)

Identifying brain abnormalities using image processing and CNN models
par: Talukder, Ismat Shehrin, et autres
Publié: (2021)

Saul Bellow, vision and revision /
par: Fuchs, Daniel, 1934-
Publié: (2002)

Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
par: Karim, Rezwanul, et autres
Publié: (2019)

The migration of knowledge workers : second-generation effects of India's brain drain /
par: Khadria, Binod
Publié: (1999)

Differentiation through learning styles and memory /
par: Sprenger, Marilee, 1949-
Publié: (2003)

How to explain a brain : an educator's handbook of brain terms and cognitive processes /
par: Sylwester, Robert
Publié: (2005)