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[HTML][HTML] Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …
and modalities using questionnaires, physical signals, and physiological signals. Recently …
goldenager: A personalized feature fusion activity recognition model for elderly
Physical and mental health are impacted as a person grows old. A Human Activity
Recognition (HAR) system, which tracks a person's activity patterns and intervenes in case …
Recognition (HAR) system, which tracks a person's activity patterns and intervenes in case …
[PDF][PDF] A Systematic Review of Computer Vision Techniques for Quality Control in End-of-Line Visual Inspection of Antenna Parts.
The rapid evolution of wireless communication technologies has underscored the critical
role of antennas in ensuring seamless connectivity. Antenna defects, ranging from …
role of antennas in ensuring seamless connectivity. Antenna defects, ranging from …
Optimized face-emotion learning using convolutional neural network and binary whale optimization
Human emotion detection using facial expressions might be easy for humans, but computing
technology to accomplish the same task is more challenging. We can recognize emotions …
technology to accomplish the same task is more challenging. We can recognize emotions …
[PDF][PDF] The implementation of transfer learning by convolution neural network (CNN) for recognizing facial emotions
AP Munanday, N Sazali, A Asogan… - Journal of Advanced …, 2023 - core.ac.uk
The primary objective of this study is to develop a real-time system that can predict the
emotional states of an individual who commonly undergoes various experiences. The …
emotional states of an individual who commonly undergoes various experiences. The …
Analysis face recognition based systems for employees attendance machine learning
The Attendance Management System with the importance and growth of technology in this
digital age, there has been a tendency towards digital education using facial recognition …
digital age, there has been a tendency towards digital education using facial recognition …
An Entropy-Based Computational Classifier for Positive and Negative Emotions in Voice Signals
AD Herrera-Ortiz, GA Yáñez-Casas… - … Congress of Telematics …, 2022 - Springer
The detection, classification and analysis of emotions has been an intense research area in
the last years. Most of the techniques applied for emotion recognition are those comprised …
the last years. Most of the techniques applied for emotion recognition are those comprised …
ERFN: Leveraging Context for Enhanced Emotion Detection.
The majority of previous methods for identifying emotions concentrate on facial expressions
rather than taking into account the rich contextual information that suggests significant …
rather than taking into account the rich contextual information that suggests significant …
An Entropy-Based Computational Classifier for Positive and Negative Emotions in Voice Signals
The detection, classification and analysis of emotions has been an intense research area in
the last years. Most of the techniques applied for emotion recognition are those comprised …
the last years. Most of the techniques applied for emotion recognition are those comprised …