Dataset-Independent EEG Channel Selection for Emotion Recognition
SY Dharia, SG Camorlinga… - 2024 46th Annual …, 2024 - ieeexplore.ieee.org
Electroencephalography (EEG) stands as a noninvasive and cost-effective method for
recording neural activity, holding potential for applications such as identifying neural …
recording neural activity, holding potential for applications such as identifying neural …
Emotion recognition from EEG signal data of the brain using bidirectional long short-term memory
M Sowmya, SV Pothuri… - International Journal of …, 2024 - search.proquest.com
This study aimed to develop an emotion recognition model using brain signals. The brain
computer interface (BCI) focuses on creating technology that enables direct brain-to-external …
computer interface (BCI) focuses on creating technology that enables direct brain-to-external …
Enhancing Emotion Classification via EEG Signal Frame Selection
M Esmaeiili, K Kiani - Journal of AI and Data Mining, 2024 - jad.shahroodut.ac.ir
The classification of emotions using electroencephalography (EEG) signals is inherently
challenging due to the intricate nature of brain activity. Overcoming inconsistencies in EEG …
challenging due to the intricate nature of brain activity. Overcoming inconsistencies in EEG …
Leveraging Machine Learning and Threshold-Free Cluster Enhancement to Unravel Perception of Emotion and Implied Movement
Understanding the neural mechanisms underlying emotional processing is critical for
advancements in emotional neuroscience. This study explores the relationship between …
advancements in emotional neuroscience. This study explores the relationship between …
Emotional Evocation in Virtual Reality: Evaluating Japanese Psych-Mimetic Word Learning System
This study investigates the potential of using virtual reality (VR) technology to induce
emotions that correspond to Japanese psych-mimetic words. Considering the complexities …
emotions that correspond to Japanese psych-mimetic words. Considering the complexities …
Advancing EEG-Based Emotion Recognition: Multimodal Techniques, Channel Optimization, and Insights into Subjective Emotion Perception
SY Dharia - 2024 - winnspace.uwinnipeg.ca
This dissertation explores the application of electroencephalography (EEG) in identifying
and understanding the neural mechanisms of emotional responses. Using a non-invasive …
and understanding the neural mechanisms of emotional responses. Using a non-invasive …