Essays about: "Motor imagery"
Showing result 1 - 5 of 15 essays containing the words Motor imagery.
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1. Noise Robustness of CNN and SNN for EEG Motor imagery classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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2. Motor Imagery Signal Classification using Adversarial Learning - A Systematic Literature Review
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : 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
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3. Tensor Decompositions of EEG Signals for Transfer Learning Applications
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : 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
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4. How imagery changes the performance of a fine motor task
University essay from Umeå universitet/Institutionen för psykologiAbstract : Visualizing both the performance and the result leads to a better achievement on the actual task, according to previous research. The purpose of this study is to examine how the visualization of the performance compared to visualizing the result, of a fine motor task, affects the outcome of the task. READ MORE
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5. Training Autoencoders for feature extraction of EEG signals for motor imagery
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : Electroencephalography (EEG) is a common technique used to read brain activity from an individual, and can be used for a wide range of applications, one example is during the rehab process of stroke victims. Loss of motor function is a common side effect of strokes, and the EEG signals can show if sufficient activation of the part of the brain related to the motor function that the patient is training has been achieved. READ MORE
