Characterisation of cognitive load using machine learning classifiers of electroencephalogram data
Q Wang, D Smythe, J Cao, Z Hu, KJ Proctor, AP Owens… - Sensors, 2023 - mdpi.com
A high cognitive load can overload a person, potentially resulting in catastrophic accidents. It
is therefore important to ensure the level of cognitive load associated with safety-critical …
is therefore important to ensure the level of cognitive load associated with safety-critical …
Artificial intelligence-based smart devices for biomedical applications
In recent years, artificial intelligence (AI) has emerged as a game-changing force across
several sectors, especially in healthcare. This book chapter explores the transformative …
several sectors, especially in healthcare. This book chapter explores the transformative …
Emotion Classification Using Optimized Features and Ensemble Learning Techniques for EEG Dataset
SD Bharkavi, S Kavitha, M Harini… - 2023 International …, 2023 - ieeexplore.ieee.org
Emotion recognition from electroencephalogram (EEG) signals is one of the important real
time applications in Brain-Computer Interface (BCI). The proposed research addresses the …
time applications in Brain-Computer Interface (BCI). The proposed research addresses the …
[引用][C] Application of Artificial Intelligence Methods in Processing of Emotions, Decisions, and Opinions
M Ptaszynski, P Dybala, R Rzepka - Applied Sciences, 2024 - mdpi.com
The rapid advancement of artificial intelligence (AI) and natural language processing (NLP)
has profoundly impacted our understanding of emotions, decision-making, and opinions …
has profoundly impacted our understanding of emotions, decision-making, and opinions …