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Convolutional Neural Tree for Video-Based Facial Expression Recognition Embedding Emotion Wheel as Inductive Bias

International Conference on Information Photonics, 2022
In this study, we propose a video-based facial expression recognition method that utilizes the "emotion-wheel model." In research on emotions in the field of psychology, a model has been proposed in which basic emotions are arranged in a circular pattern,
Ryo Miyoshi   +4 more
semanticscholar   +1 more source

Face Recognition System with 2D Anti-Spoofing

International Workshop on Artificial Intelligence and Cognition, 2022
Over the past two decades face recognition has gained immense interest and is one of the most interesting research areas. The reason for this could be the need for designing automatic recognition and surveillance systems or a human-computer interface ...
A. Savanth   +4 more
semanticscholar   +1 more source

Task characteristics influence facial emotion recognition age-effects: A meta-analytic review.

Psychology and Aging, 2020
Relative to their young counterparts, older adults are poorer at recognizing facial expressions. A 2008 meta-analysis of 17 facial emotion recognition data sets showed that these age-related difficulties are not uniform. Rather, they are greatest for the
Grace S Hayes   +7 more
semanticscholar   +1 more source

Automated Handwriting Pattern Recognition for Multi-Level Personality Classification Using Transformer OCR (TrOCR)

International Conference on Pattern Recognition Applications and Methods
: Automated personality trait assessment from handwriting analysis offers applications in psychology, human-computer interaction, and personal profiling.
Marzieh Adeli Shamsabad, C. Suen
semanticscholar   +1 more source

Theoretical and experimental models in physiological and psychological research of pattern perception and recognition in humans

Pattern Recognition and Image Analysis, 2009
Classical models in a human-machine system for physiological and psychological research are reviewed. Actual experimental data in this realm of science for psychophysiology are given. Main logical conclusions that can be used to develop software suitable for physiological and psychological research are made.
openaire   +2 more sources

UBRMTC: User Behavior Recognition Model With Transaction Character

IEEE Transactions on Computational Social Systems
Behavior analysis has been used widely in antifraud transactions. However, existing methods of behavior analysis mainly focus on behavior patterns and do not fully consider the behavior psychology of users in the transaction process, which affects the ...
Zhaohui Zhang, Ziming Wei, Lina Ma
semanticscholar   +1 more source

Improving Micro-Expression Recognition with Phase-Aware Temporal Augmentation

International Conference on Multimedia Analysis and Pattern Recognition
Micro-expressions (MEs) are brief, involuntary facial movements that reveal genuine emotions, typically lasting less than half a second. Recognizing these subtle expressions is critical for applications in psychology, security, and behavioral analysis ...
Vu Tram Anh Khuong   +3 more
semanticscholar   +1 more source

Psychological Processes in Pattern Recognition

The American Journal of Psychology, 1975
Joseph S. Lappin, Stephen K. Reed
openaire   +1 more source

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