AIMC Topic: Brain-Computer Interfaces

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Decoding basic emotional states through integration of an fNIRS-based brain-computer interface with supervised learning algorithms.

PloS one Jul 14, 2025
Automated detection of emotional states through brain-computer interfaces (BCIs) offers significant potential for enhancing user experiences and personalizing services across domains such as mental health, adaptive learning and interactive entertainm...
Young Adult Adult Male Humans Algorithms Female Emotions Supervised Machine Learning Brain-Computer Interfaces Spectroscopy, Near-Infrared Prefrontal Cortex Support Vector Machine
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A transformer-based network with second-order pooling for motor imagery EEG classification.

Journal of neural engineering Jul 10, 2025
. Electroencephalography (EEG) signals can reflect motor intention signals in the brain. In recent years, motor imagery (MI) based brain-computer interfaces (BCIs) have attracted the attention of neuroinformatics researchers. Numerous deep learning m...
Imagination Deep Learning Electroencephalography Brain-Computer Interfaces Humans Neural Networks, Computer Brain
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An investigation of multimodal EMG-EEG fusion strategies for upper-limb gesture classification.

Journal of neural engineering Jul 10, 2025
. Upper-limb gesture identification is an important problem in the advancement of robotic prostheses. Prevailing research into classifying electromyographic (EMG) muscular data or electroencephalographic (EEG) brain data for this purpose is often lim...
Male Gestures Electroencephalography Electromyography Female Humans Brain-Computer Interfaces Young Adult Machine Learning Upper Extremity Adult Algorithms
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Motor imagery EEG signal classification using novel deep learning algorithm.

Scientific reports Jul 8, 2025
Electroencephalography (EEG) signal classification plays a critical role in various biomedical and cognitive research applications, including neurological disorder detection and cognitive state monitoring. However, these technologies face challenges ...
Humans Algorithms Brain-Computer Interfaces Wavelet Analysis Imagination Deep Learning Electroencephalography Signal Processing, Computer-Assisted
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Advancing BCI with a transformer-based model for motor imagery classification.

Scientific reports Jul 2, 2025
Brain-computer interfaces (BCIs) harness electroencephalographic signals for direct neural control of devices, offering significant benefits for individuals with motor impairments. Traditional machine learning methods for EEG-based motor imagery (MI)...
Electroencephalography Brain-Computer Interfaces Imagination Machine Learning Algorithms Deep Learning Humans Neural Networks, Computer
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EEG based real time classification of consecutive two eye blinks for brain computer interface applications.

Scientific reports Jul 1, 2025
Human eye blinks are considered a significant contaminant or artifact in electroencephalogram (EEG), which impacts EEG-based medical or scientific applications. However, eye blink detection can instead be transformed into a potential application of b...
Brain-Computer Interfaces Blinking Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted Humans Neural Networks, Computer Machine Learning Young Adult Brain Adult Female Male
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Improving EEG based brain computer interface emotion detection with EKO ALSTM model.

Scientific reports Jul 1, 2025
Decoding signals from the CNS brain activity is done by a computer-based communication device called a BCI. In contrast, the system is considered compelling communication equipment enabling command, communication, and action without using neuromuscul...
Algorithms Brain Female Adult Male Emotions Humans Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces
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Towards decoding motor imagery from EEG signal using optimized back propagation neural network with honey badger algorithm.

Scientific reports Jul 1, 2025
The importance of using Brain-Computer Interface (BCI) systems based on electro encephalography (EEG) signal to decode Motor Imagery(MI) is very impressive because of the possibility of analyzing and translating brain signals related to movement inte...
Brain Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans Movement Neural Networks, Computer Imagination Algorithms
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Revisiting Euclidean alignment for transfer learning in EEG-based brain-computer interfaces.

Journal of neural engineering Jun 30, 2025
Due to large intra-subject and inter-subject variabilities of electroencephalogram (EEG) signals, EEG-based brain-computer interfaces (BCIs) usually need subject-specific calibration to tailor the decoding algorithm for each new subject, which is tim...
Transfer, Psychology Humans Algorithms Machine Learning Electroencephalography Brain-Computer Interfaces
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Investigating the benefits of artificial neural networks over linear approaches to BMI decoding.

Journal of neural engineering Jun 27, 2025
Brain-machine interfaces (BMI) aim to restore function to persons living with spinal cord injuries by 'decoding' neural signals into behavior. Recently, nonlinear BMI decoders have outperformed previous state-of-the-art linear decoders, but few studi...
Fingers Macaca mulatta Neural Networks, Computer Male Movement Animals Linear Models Motor Cortex Brain-Computer Interfaces
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