A technology maturity assessment framework for industry 5.0 machine vision systems based on systematic literature review in automotive manufacturing
FK Konstantinidis, N Myrillas, KA Tsintotas… - … Journal of Production …, 2023 - Taylor & Francis
When considering how an intelligent factory can 'see,'the answer lies in machine vision
technology. To assess the current technological advancements of machine vision systems …
technology. To assess the current technological advancements of machine vision systems …
New trends in emotion recognition using image analysis by neural networks, a systematic review
Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …
classifying human emotional expressions. FER systems are currently used in a vast range of …
Facial emotion recognition with inter-modality-attention-transformer-based self-supervised learning
Emotion recognition is a very challenging research field due to its complexity, as individual
differences in cognitive–emotional cues involve a wide variety of ways, including language …
differences in cognitive–emotional cues involve a wide variety of ways, including language …
A deep learning approach for autonomous compression damage identification in fiber-reinforced concrete using piezoelectric lead zirconate titanate transducers
Effective damage identification is paramount to evaluating safety conditions and preventing
catastrophic failures of concrete structures. Although various methods have been introduced …
catastrophic failures of concrete structures. Although various methods have been introduced …
Facial emotion recognition for photo and video surveillance based on machine learning and visual analytics
Featured Application Can be used in video surveillance systems for large groups of people.
Abstract Modern video surveillance systems mainly rely on human operators to monitor and …
Abstract Modern video surveillance systems mainly rely on human operators to monitor and …
A model for EEG-based emotion recognition: CNN-BI-LSTM with attention mechanism
Z Huang, Y Ma, R Wang, W Li, Y Dai - Electronics, 2023 - mdpi.com
Emotion analysis is the key technology in human–computer emotional interaction and has
gradually become a research hotspot in the field of artificial intelligence. The key problems …
gradually become a research hotspot in the field of artificial intelligence. The key problems …
Emotion recognition from large-scale video clips with cross-attention and hybrid feature weighting neural networks
The emotion of humans is an important indicator or reflection of their mental states, eg,
satisfaction or stress, and recognizing or detecting emotion from different media is essential …
satisfaction or stress, and recognizing or detecting emotion from different media is essential …
An Efficient Approach to Face Emotion Recognition with Convolutional Neural Networks
C Białek, A Matiolański, M Grega - Electronics, 2023 - mdpi.com
Solutions for emotion recognition are becoming more popular every year, especially with the
growth of computer vision. In this paper, classification of emotions is conducted based on …
growth of computer vision. In this paper, classification of emotions is conducted based on …
A hybrid spiking neural network reinforcement learning agent for energy-efficient object manipulation
Due to the wide spread of robotics technologies in everyday activities, from industrial
automation to domestic assisted living applications, cutting-edge techniques such as deep …
automation to domestic assisted living applications, cutting-edge techniques such as deep …
Automated Facial Emotion Recognition Using the Pelican Optimization Algorithm with a Deep Convolutional Neural Network
Facial emotion recognition (FER) stands as a pivotal artificial intelligence (AI)-driven
technology that exploits the capabilities of computer-vision techniques for decoding and …
technology that exploits the capabilities of computer-vision techniques for decoding and …