Search
Search Results
-
OISVM: Optimal Incremental Support Vector Machine-based EEG Classification for Brain-computer Interface Model
The brain-computer interface (BCI) is a field of computer science where users can interact with devices in terms of brain signals. The brain signals...
-
Brain-Machine Based Rehabilitation Motor Interface and Design Evaluation for Stroke Patients
Based on the brain-computer interface is an important way of existing and future medical rehabilitation medicine, based on post-stroke motor...
-
Review of Neural Interfaces: Means for Establishing Brain–Machine Communication
Neurointerface or Brain–Machine Interface is a system of devices that utilizes the electrical nature of neural signals to establish communication...
-
Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review
Affective computing, a subcategory of artificial intelligence, detects, processes, interprets, and mimics human emotions. Thanks to the continued...
-
Brain-Computer Interface (BCI) Based on the EEG Signal Decomposition Butterfly Optimization and Machine Learning
The Brain-Computer Interface (BCI) is a technology that helps disabled people to operate assistive devices bypassing neuromuscular channels. This...
-
An efficient method for MRI brain tumor tissue segmentation and classification using an optimized support vector machine
Brain tumors are abnormal cell growths inside the skull that damage brain cells needed for brain function. The complex structure of the human brain...
-
Advancements in hybrid approaches for brain tumor segmentation in MRI: a comprehensive review of machine learning and deep learning techniques
Magnetic resonance imaging (MRI) brain tumour segmentation is essential for the diagnosis, planning, and follow-up of patients with brain tumours. In...
-
Optimization Driven Spike Deep Belief Neural Network classifier: a deep-learning based Multichannel Spike Sorting Neural Signal Processor (NSP) module for high-channel-count Brain Machine Interfaces (BMIs)
An Optimization Driven Spike Deep Belief Neural Networks is a type of neural network that is inspired by the functioning of the human brain. It is a...
-
Cross-subject EEG feature matrix classification method and its application in brain-computer interface
EEG signals are widely utilized in brain-computer interface (BCI) applications. However, the non-linear and non-stationary nature of EEG signals...
-
Human attention detection system using deep learning and brain–computer interface
Brain–Computer Interface is tested as a successful method in improving human cognitive functions such as attention and memory. Attention plays a...
-
A universal closed-loop brain–machine interface framework design and its application to a joint prosthesis
Brain–machine interface (BMI) system offers the possibility for the brain communicating with external devices (such as prostheses) according to the...
-
Brain–computer interface: trend, challenges, and threats
Brain–computer interface (BCI), an emerging technology that facilitates communication between brain and computer, has attracted a great deal of...
-
An Efficient Hybrid Classifier for MRI Brain Images Classification Using Machine Learning Based Naive Bayes Algorithm
In recent days, advanced techniques are used to compare the analysis of medical images, identifying, pre-processing and interpreting the images. As a...
-
Reinforcement learning-based feature selection for improving the performance of the brain–computer interface system
An electroencephalogram (EEG)-based brain–computer interface (BCI) provides a communication link between the brain and an external device. The...
-
Brain-Computer-Interface (BCI) Based Smart Home Control Using EEG Mental Commands
This paper presents an approach to control smart home objects using Brain-Computer Interface (BCI) technology. The proposed system enables more...
-
A novel explainable machine learning approach for EEG-based brain-computer interface systems
Electroencephalographic (EEG) recordings can be of great help in decoding the open/close hand’s motion preparation. To this end, cortical EEG source...
-
Detection of Healthy and Unhealthy Brain States from Local Field Potentials Using Machine Learning
Neural signals are the recordings of the electrical activity individual or groups of neurons, and they are used for disease staging, brain-computer...
-
A personality-guided affective brain—computer interface for implementation of emotional intelligence in machines
Affective brain—computer interfaces have become an increasingly important topic to achieve emotional intelligence in human—machine collaboration....
-
VPI: Vehicle Programming Interface for Vehicle Computing
The emergence of software-defined vehicles (SDVs), combined with autonomous driving technologies, has enabled a new era of vehicle computing (VC),...