Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review
Emotion is a subjective psychophysiological reaction coming from external stimuli which
impacts every aspect of our daily lives. Due to the continuing development of non-invasive …
impacts every aspect of our daily lives. Due to the continuing development of non-invasive …
Relevance Vector Machine for Code Smell Detection
Various approaches have been proposed to detect code smells, including machine learning
models. However, there are still challenges to improving detection accuracy and selecting …
models. However, there are still challenges to improving detection accuracy and selecting …
[PDF][PDF] Application of Fractal Analysis based Feature Extractor for Channel Reduction of Silent Speech Interface Using Facial Electromyography
A Abdullah, OS Powar, K Chemmangat - International Journal of …, 2023 - inass.org
Surface electromyography (sEMG) based silent speech interface (SSI) is an actively
investigated topic among the broad area of human computer interaction studies which is …
investigated topic among the broad area of human computer interaction studies which is …
Advancing Human Computer Interaction Through a Hybrid EEG-Based Emotion Recognition System
A Karthik, M Manikandan, P Dinesh… - 2024 Third …, 2024 - ieeexplore.ieee.org
An emotional recognition system helps human-computer interaction systems by using a
deep learning approach to find pattern recognition. This research advances the HCI field …
deep learning approach to find pattern recognition. This research advances the HCI field …