[HTML][HTML] An improved feature extraction algorithms of EEG signals based on motor imagery brain-computer interface
X Geng, D Li, H Chen, P Yu, H Yan, M Yue - Alexandria Engineering …, 2022 - Elsevier
The electroencephalogram (EEG) signals based on the Brian-computer Interface (BCI)
equipment is weak, non-linear, non-stationary and time-varying, so an effective feature …
equipment is weak, non-linear, non-stationary and time-varying, so an effective feature …
Imagined Speech Reconstruction from Neural Signals–An Overview of Sources and Methods
Imagined speech, also known as inner, covert, or silent speech, means how to express
thoughts silently without moving the vocal apparatus. Imagined speech reconstruction (ISR) …
thoughts silently without moving the vocal apparatus. Imagined speech reconstruction (ISR) …
EEG based direct speech BCI system using a fusion of SMRT and MFCC/LPCC features with ANN classifier
PP Mini, T Thomas, R Gopikakumari - Biomedical Signal Processing and …, 2021 - Elsevier
Brain computer interface (BCI) technology has a great deal of scientific interest with various
application systems. An advancement that is increasingly relevant in the BCI is …
application systems. An advancement that is increasingly relevant in the BCI is …
Multiclass classification of imagined speech EEG using noise-assisted multivariate empirical mode decomposition and multireceptive field convolutional neural …
H Park, B Lee - Frontiers in human neuroscience, 2023 - frontiersin.org
Introduction In this study, we classified electroencephalography (EEG) data of imagined
speech using signal decomposition and multireceptive convolutional neural network. The …
speech using signal decomposition and multireceptive convolutional neural network. The …
AFLEMP: Attention-based Federated Learning for Emotion recognition using Multi-modal Physiological data
Automated emotion recognition systems utilizing physiological signals are essential for
affective computing and intelligent interaction. Combining the multiple physiological signals …
affective computing and intelligent interaction. Combining the multiple physiological signals …
EM-CSP: an efficient multiclass common spatial pattern feature method for speech imagery EEG signals recognition
D Alizadeh, H Omranpour - Biomedical Signal Processing and Control, 2023 - Elsevier
Background Brain-computer interface (BCI) technology has many applications in various
scientific fields, such as used in communication (speech recognition). The data of imagery …
scientific fields, such as used in communication (speech recognition). The data of imagery …
Improving Silent Speech BCI Training Procedures Through Transfer from Overt to Silent Speech
Silent speech Brain-Computer Interfaces (BCIs) try to decode imagined speech from brain
activity. Those BCIs require a tremendous amount of training data usually collected during …
activity. Those BCIs require a tremendous amount of training data usually collected during …
Acoustic emission and electromagnetic radiation precursor signal identification and early warning of coal and gas outburst based on diffusion-semi-supervised …
B Liu, Z Li, Z Zang, E Wang, C Zhang, S Yin - Physics of Fluids, 2024 - pubs.aip.org
Gas outbursts in coal seams represent a severe and formidable hazard, posing a significant
threat to the safety of coal mining operations. The advanced early warning is a crucial …
threat to the safety of coal mining operations. The advanced early warning is a crucial …
Non-Intrusive Load Identification Considering Unknown Load Based on Bi-Modal Fusion and One-Class Classification
J Xiao, M Tan, R Pan, Y Su, T Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Nonintrusive load monitoring (NILM) enables the real-time monitoring and data analysis of
energy consumption, providing more accurate, efficient, and intelligent data support for …
energy consumption, providing more accurate, efficient, and intelligent data support for …
Resting state EEG assisted imagined vowel phonemes recognition by native and non-native speakers using brain connectivity measures
R Juyal, H Muthusamy, N Kumar, A Tiwari - Physical and Engineering …, 2024 - Springer
Communication is challenging for disabled individuals, but with advancement of brain-
computer interface (BCI) systems, alternative communication systems can be developed …
computer interface (BCI) systems, alternative communication systems can be developed …