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[PDF][PDF] A Comprehensive Review for Emotion Detection Based on EEG Signals: Challenges, Applications, and Open Issues.
Accepted: 25 July 2021 Emotion classification based on physiological signals has become a
hot topic in the past decade. Many studies have attempted to classify emotions using various …
hot topic in the past decade. Many studies have attempted to classify emotions using various …
[HTML][HTML] A novel approach for emotion recognition based on EEG signal using deep learning
Emotion can be defined as a voluntary or involuntary reaction to external factors. People
express their emotions through actions, such as words, sounds, facial expressions, and …
express their emotions through actions, such as words, sounds, facial expressions, and …
Eye-tracking-based personality prediction with recommendation interfaces
Recent research in behavioral decision making demonstrates the advantages of using eye-
tracking to surface insights into users' underlying cognitive processes. Personality …
tracking to surface insights into users' underlying cognitive processes. Personality …
VyaktitvaNirdharan: Multimodal Assessment of Personality and Trait Emotional Intelligence
M Leekha, SN Khan, H Srinivas… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Automatic personality assessment (APA) has immense potential to improve decision-making
and human-machine interaction. Numerous techniques for APA have been proposed in …
and human-machine interaction. Numerous techniques for APA have been proposed in …
(Don't) stand by me: How trait psychopathy and NPC emotion influence player perceptions, verbal responses, and movement behaviours in a gaming task
Social interactions are an essential part of many digital games, and provide benefits to
players; however, problematic social interactions also lead to harm. To inform our …
players; however, problematic social interactions also lead to harm. To inform our …
Deep Forest based EEG Signal Analysis and Classification
This work focuses on the development of a deep forest-based EEG signal analysis and
classification system for the detection of cognitive states. The dataset used in this study was …
classification system for the detection of cognitive states. The dataset used in this study was …
Socially Anxious Play: Design, Development, and Evaluation of Game-Based Digital Behavioural Markers for the Assessment of Social Anxiety
MJ Dechant - 2022 - harvest.usask.ca
Social relationships are essential for humans; neglecting our social needs can cause
discomfort or even lead to the development of more severe issues such as loneliness …
discomfort or even lead to the development of more severe issues such as loneliness …
[PDF][PDF] A Novel Approach for Emotion Recognition Based on Eeg Signal Using Deep Learning
M Baykara, A Abdulrahman - papers.ssrn.com
Emotion can be defined as a voluntary or involuntary reaction to external factors. People
express their emotions through actions such as words, sounds, facial expressions, and body …
express their emotions through actions such as words, sounds, facial expressions, and body …