Browsing by Subject "EEG"
Now showing items 1-20 of 26
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Application of machine learning in attentiveness detection from EEG signal
(Brac University, 2022-09-29)Brain-computer interface (BCI) spellers enable severely motor-impaired people to communicate through brain activity without the use of their muscles. Our brains precisely predict what we will think. If a human-readable ... -
Applying tDCS over the dominant Hemisphere to observe event-related Desynchronization
(Brac University, 2019-12)Although keeping us alive is arguably the most important function of the human brain, the human brain is responsible for a host of functions|including processing of environmental stimuli. Electroencephalography (EEG) is ... -
Affective state recognition through analysis of electroencephalogram signals by using extreme gradient boosting
(Brac University, 2021-01)Emotion analysis has become a very important aspect in everyday life. It gives a detailed understanding of the behavior of human. In this research, we have focused on three dimensions of emotion. These are arousal (calm ... -
Beyond words: an exploration of free-hand sketches and EEG-based neurobiological signatures to unveil the underlying depression among cancer patients
(Brac University, 2023-05)Mental well-being is intricately intertwined with physical health and is considered a crucial aspect of an individual’s overall well-being. Due to ever-deteriorating health conditions and uncertainty about the future, ... -
Classi fication of motor imagery tasks based on BCI paradigm
(Brac University, 2019-09)Motor imagery tasks are mental processes by which individual practices a set of actions in their mind without actually performing the physical movements. Research in the motor imagery tasks allow us to acquire critical ... -
Cognitive efficiency in robot control by Emotiv EPOC
(© 2014 IEEE Computer Society, 2014-05)Brain Computer Interface (BCI) has opened a new era in the field of neuroscience. It has the potentiality to improve the quality of life of severely disabled patients. It allows them to regain the power of moving things ... -
A comparative analysis of emotion recognition using EEG signals with a channel selection technique
(Brac University, 2021-01)Emotion can be defined as the neurophysiological changes people experience due to significant internal or external occasions. This is a mental condition that can a↵ect a person’s behavior, mood, way of life, and relationship ... -
Consumer behaviour analysis using EEG signals for Neuromarketing Application
(Brac University, 2019-12)Neuromarketing is applying neuropsychology in marketing research which studies consumer sensory-motor such as cognitive and affective response to marketing stimuli with the help of modern technologies. It is one of the ... -
Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning
(Brac University, 2020-04)Depression is accorded as one of the leading causes to all the problems related to mental health in the Global disease burden study (GBD). Major depressive disorder (MDD) is when this depression reaches to a larger extent, ... -
Detecting navigation challenges for the visually impaired with mobile monitoring of biosignal
(Brac University, 2020-04)In recent years, mobile Brain Computer Interface (BCI) has gained much popularity in the design of navigation aids. This opens up the platform to build navigation aids based on the level of stress imposed on visually ... -
Detection and prediction of epileptic seizure using different machine learning classifiers
(Brac University, 2022-05-29)Analyzing neural signals produced by neurons in the brain, epilepsy can be diagnosed. An electroencephalogram (EEG) measures brain electrical activity, and studying EEG data in order to detect epileptic seizures in their ... -
Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
(Brac University, 2021-06)Epilepsy is the most common neurological issue in people after stroke. Around 40 or 50 million individuals on the planet endure epilepsy. Epilepsy is characterized by an irregular seizure in which abnormal electrical ... -
DWT based transformed domain feature extraction approach for epileptic seizure detection
(Brac University, 2021-09)Epileptic seizure is a neurological disorder that is prevalent in both males and females of all age ranges. Detection of epileptic seizure serves as an important role for epileptic patients as it allows the initiation ... -
EEG signals analysis for motor imagery brain computer interface
(Brac University, 2019-08)A brain{computer interface is a medium for communication which converts neuronal signals into commands towards controlling external system. This thesis presented the process of classifying three motor imagery tasks using ... -
Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
(Brac University, 2022-09)Recently, researchers have focused on understanding human sentiment using mechanical devices or reactions to any machinery activity. Computerization is becoming more prevalent in today’s environment. People are unaware of ... -
Emotion analysis using machine learning model and deep learning model on DEAP dataset
(Brac University, 2021-10)Emotion has a signi cant in uence on how you think and interact with others. It serves as a link between how you feel and the actions you take, or you could say it in uences your life decisions on occasion. Since the ... -
Emotion recognition using EEG signal and deep learning approach
(Brac University, 2019-08)Emotion is a mental state, which originates in the brain and is closely related to the nervous system. Emotion can be defined as a feeling expressed through, or detectable by voice intonation, facial expression body ... -
Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
(BRAC University, 2018-12)In recent years, detecting epileptic seizure has gained a high demand in the field of research. It is such a common and high talked brain disorder, since more than 65 million individuals worldwide are affected by this ... -
Exploring cognitive load and emotional states for the visually impaired
(Brac University, 2019-04)Cognitive load and emotional states may impact for designing an assistive navigation aid for the Visually Impaired Peoples (VIPs). In this study, electroencephalogram (EEG) signals were captured from participants with ... -
Factor analysis of ad liking and prediction of purchase intent through emotionomics
(Brac University, 2019-12)Marketing strategy is being a new challenge in this modern era. Along with the global market, people's choices are also changing so to grab the focus of buyers, organizations are making changes in their marketing policy ...
