[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 …
[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 …
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 …
Optimized face-emotion learning using convolutional neural network and binary whale optimization
T Muthamilselvan, K Brindha, S Senthilkumar… - Multimedia Tools and …, 2023 - Springer
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 …
Analysis face recognition based systems for employees attendance machine learning
P Rastogi, P Saravanan, GHK Beenu… - 2023 Second …, 2023 - ieeexplore.ieee.org
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 …
The Implementation of Transfer Learning by Convolution Neural Network (CNN) for Recognizing Facial Emotions
AP Munanday, N Sazali, A Asogan… - … in Applied Sciences …, 2023 - semarakilmu.com.my
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 …
ERFN: Leveraging Context for Enhanced Emotion Detection.
N Gupta, RV Priya, CK Verma - International Journal of …, 2024 - search.ebscohost.com
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
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 …
An Entropy-Based Computational Classifier for Positive and Negative Emotions in Voice Signals
MG Orozco-del-Castillo, MF Mata-Rivera… - … and Computing: 11th …, 2022 - books.google.com
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 …