Essays about: "BCI"

Showing result 1 - 5 of 42 essays containing the word BCI.

  1. 1. 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

  3. 2. EEG-Based Speech Decoding Using a Machine Learning Pipeline

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Julia Önerud; [2023]
    Keywords : EEG; EEG-Decoding; Speech-like; Neuro; Neurotech; Machine-learning; SVM; Feature Extraction; Feature Selection; Mentalab; Inner Speech; OVR; Baseline-Correction; State-of-the-art; State-of-the-art Accuracy; Directions; Emotions;

    Abstract : his project aims to find a method that will help fill the information gaps in electroencephalography (EEG) brain-computer interfaces (BCI) research, by creating a pipeline method that allows for quicker research iterations than current state-of-the-art methods. The pipeline method is a multi-step processstarting from the recording EEG data from a subject performing a thought paradigm action, continuing with processing and decoding of the data, and ending with visualization and analysis the decoded results. READ MORE

  4. 3. 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

  5. 4. Tensor Decompositions of EEG Signals for Transfer Learning Applications

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Emma Fallenius; Linda Karlsson; [2022]
    Keywords : Technology and Engineering;

    Abstract : In this report, tensor decomposition methods of EEG signals have been evaluated for the purpose of transfer learning. The aim has been to address the person-to-person Brain-Computer Interface (BCI) calibration problem by transferring training data between sessions, which can shorten calibration times, extend the amount of training data, and enable using data from simulated environments in real world applications. READ MORE

  6. 5. The effects of data compression on the decoding of neuronal activity during handwriting with a comparison between linear and nonlinear models

    University essay from KTH/Datavetenskap

    Author : William Bigert; Marcus Friberg; [2022]
    Keywords : ;

    Abstract : Brain computer interfaces (BCI) play a key role in enabling individuals who are suffering from the dreaded locked-in syndrome or severe forms of paralysis to communicate with the world around them. A state of the art BCI was developed by Willet et al. READ MORE