Novel fNIRS study on homogeneous symmetric feature-based transfer learning for brain–computer interface
The brain–computer interface (BCI) provides an alternate means of communication between
the brain and external devices by recognizing the brain activities and translating them into …
the brain and external devices by recognizing the brain activities and translating them into …
Enhancing Classification Accuracy with Integrated Contextual Gate Network: Deep Learning Approach for Functional Near-Infrared Spectroscopy Brain–Computer …
Brain–computer interface (BCI) systems include signal acquisition, preprocessing, feature
extraction, classification, and an application phase. In fNIRS-BCI systems, deep learning …
extraction, classification, and an application phase. In fNIRS-BCI systems, deep learning …
CGAN-rIRN: a data-augmented deep learning approach to accurate classification of mental tasks for a fNIRS-based brain-computer interface
Y Zhang, D Liu, T Li, P Zhang, Z Li… - Biomedical optics express, 2023 - opg.optica.org
Functional near-infrared spectroscopy (fNIRS) is increasingly used to investigate different
mental tasks for brain-computer interface (BCI) control due to its excellent environmental …
mental tasks for brain-computer interface (BCI) control due to its excellent environmental …
Classification algorithm for fNIRS-based brain signals using convolutional neural network with spatiotemporal feature extraction mechanism
Y Qin, B Li, W Wang, X Shi, C Peng, Y Lu - Neuroscience, 2024 - Elsevier
Abstract Brain Computer Interface (BCI) is a highly promising human–computer interaction
method that can utilize brain signals to control external devices. BCI based on functional …
method that can utilize brain signals to control external devices. BCI based on functional …
Subject-independent functional near-infrared spectroscopy-based brain–computer interfaces based on convolutional neural networks
Functional near-infrared spectroscopy (fNIRS) has attracted increasing attention in the field
of brain–computer interfaces (BCIs) owing to their advantages such as non-invasiveness …
of brain–computer interfaces (BCIs) owing to their advantages such as non-invasiveness …
Improved classification performance of EEG-fNIRS multimodal brain-computer interface based on multi-domain features and multi-level progressive learning
Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have
potentially complementary characteristics that reflect the electrical and hemodynamic …
potentially complementary characteristics that reflect the electrical and hemodynamic …
Comparison of machine learning approaches for motor imagery based optical brain computer interface
Abstract A Brain-computer Interface (BCI) is a system that interprets specific patterns in
human brain activity, such as the intention to perform motor functions, in order to generate a …
human brain activity, such as the intention to perform motor functions, in order to generate a …
Convolutional neural network for high-accuracy functional near-infrared spectroscopy in a brain–computer interface: three-class classification of rest, right-, and left …
T Trakoolwilaiwan, B Behboodi, J Lee, K Kim… - …, 2018 - spiedigitallibrary.org
The aim of this work is to develop an effective brain–computer interface (BCI) method based
on functional near-infrared spectroscopy (fNIRS). In order to improve the performance of the …
on functional near-infrared spectroscopy (fNIRS). In order to improve the performance of the …
Modeling and classification of voluntary and imagery movements for brain–computer interface from fNIR and EEG signals through convolutional neural network
Practical brain–computer interface (BCI) demands the learning-based adaptive model that
can handle diverse problems. To implement a BCI, usually functional near-infrared …
can handle diverse problems. To implement a BCI, usually functional near-infrared …
A novel classification framework using multiple bandwidth method with optimized CNN for brain–computer interfaces with EEG-fNIRS signals
The most effective way to communicate between the brain and electronic devices in the
outside world is the brain–computer interface (BCI) systems. BCI systems use signals of …
outside world is the brain–computer interface (BCI) systems. BCI systems use signals of …