Essays about: "Brain-computer interface BCI"
Showing result 1 - 5 of 28 essays containing the words Brain-computer interface BCI.
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1. 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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2. Effects on the precision of a brain-computer interface when reducing the number of neural recordings used as input
University essay from KTH/DatavetenskapAbstract : A brain-computer interface (BCI) is a technology where electric activity from the brain is interpreted by a computer in order to perform a specific task. There exists various methods to record brain activity depending on if the recording devices are implanted under or over the scalp. READ MORE
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3. Using machine learning to analyse EEG brain signals for inner speech detection
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Research on brain-computer interfaces (BCIs) has been around for decades and recently the inner speech paradigm was picked up in the area. The realization of a functioning BCI could improve the life quality of many people, especially persons affected by Locked-In-Syndrome or similar illnesses. READ MORE
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4. Closed-Loop EEG BCI: VR and Electrical Stimulation to treat Neuropathic Pain
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Chronic pain is a life-threatening disease affecting over 20% of theU.S. adult population as of 2016. It impacts the physical as well as emotional components of a human being significantly affecting a person’s quality of life. READ MORE
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5. Acceleration of Machine-Learning Pipeline Using Parallel Computing
University essay from Uppsala universitet/Signaler och systemAbstract : Researchers from Lund have conducted research on classifying images in three different categories, faces, landmarks and objects from EEG data [1]. The researchers used SVMs (Support Vector Machine) to classify between the three different categories [2, 3]. READ MORE