Essays about: "EEG Data Classification"

Showing result 1 - 5 of 42 essays containing the words EEG Data Classification.

  1. 1. Deep Learning-Driven EEG Classification in Human-Robot Collaboration

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yuan Wo; [2023]
    Keywords : Human-robot collaboration; Electroencephalogram signal; Signal Processing Feature Extraction; Deep Learning method; Dilated Convolutional Neural Network; Människa-robot-samarbete; Elektroencefalogram-signal; Signalförädlingsfunktionsutvinning; Djupinlärningsmetod; Dilaterat konvolutionellt neuronnätverk.;

    Abstract : Human-robot collaboration (HRC) occurs when people and robots work together in a shared environment. Current robots often use rigid programs unsuitable for HRC. Multimodal robot programming offers an easier way to control robots using inputs like voice and gestures. READ MORE

  3. 2. Evaluation of Machine Learning Classifiers for Refractory Epilepsy Classification

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ann Abeysekera; Elina Tayebi; [2023]
    Keywords : ;

    Abstract : Epilepsy is a neurological disease, where up to 40% of patients, known as having refractory epilepsy, do not become seizure-free through antiepileptic drugs (AEDs). Epilepsy surgery has the highest possibility of treating patients with refractory epilepsy, however, many are never referred to surgical evaluation. READ MORE

  4. 3. Noise Robustness of CNN and SNN for EEG Motor imagery classification

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Merlin Sewina; [2023]
    Keywords : Machine Learning; Spiking Neural Networks; Convolutional Neural Networks; EEG;

    Abstract : As an able-bodied human, understanding what someone says during a phone call with a lot of background noise is usually a task that is quite easy for us as we are aware of what the information is we want to hear, e.g. the voice of the person we are talking to, and the information that is noise, e.g. READ MORE

  5. 4. Motor Imagery Signal Classification using Adversarial Learning - A Systematic Literature Review

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Osama Mahmudi; Shubhra Mishra; [2023]
    Keywords : Adversarial Learning; Motor Imagery; BCI; EEG; Machine Learning;

    Abstract : Context: Motor Imagery (MI) signal classification is a crucial task for developing Brain-Computer Interfaces (BCIs) that allow people to control devices using their thoughts. However, traditional machine learning approaches often suffer from limited performance due to inter-subject variability and limited data availability. READ MORE

  6. 5. Computation models for audiovisual attention decoding

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Sara Enander; Louise Karsten; [2022]
    Keywords : Technology and Engineering;

    Abstract : When being in a noisy environment, a normal hearing person can manage to sort out background noise and focus on the attended source. This is something that a person with impaired hearing will struggle with, even when wearing a hearing aid. READ MORE