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 …
Advancements in neighboring-based energy-efficient routing protocol (NBEER) for underwater wireless sensor networks
Underwater wireless sensor networks (UWSNs) have gained prominence in wireless sensor
technology, featuring resource-limited sensor nodes deployed in challenging underwater …
technology, featuring resource-limited sensor nodes deployed in challenging underwater …
Facial emotion recognition for mobile devices: A practical review
M Krumnikl, V Maiwald - IEEE Access, 2024 - ieeexplore.ieee.org
Communicating via email or various chat applications on smartphones is part of most
people's daily lives. But in written form, human communication loses a lot of valuable …
people's daily lives. But in written form, human communication loses a lot of valuable …
Hybrid facial emotion recognition using CNN-based features
In computer vision, the convolutional neural network (CNN) is a very popular model used for
emotion recognition. It has been successfully applied to detect various objects in digital …
emotion recognition. It has been successfully applied to detect various objects in digital …
Automated plant species identification from the stomata images using deep neural network: A study of selected mangrove and freshwater swamp forest tree species of …
Stomatal traits of leaves are critical for regulating the exchange of gases between plant
tissues and the atmosphere, and thus play a crucial role in the physiological activities of …
tissues and the atmosphere, and thus play a crucial role in the physiological activities of …
Deep transfer learning enabled intelligent object detection for crowd density analysis on video surveillance systems
Object detection is a computer vision based technique which is used to detect instances of
semantic objects of a particular class in digital images and videos. Crowd density analysis is …
semantic objects of a particular class in digital images and videos. Crowd density analysis is …
A novel driver emotion recognition system based on deep ensemble classification
Driver emotion classification is an important topic that can raise awareness of driving habits
because many drivers are overconfident and unaware of their bad driving habits. Drivers will …
because many drivers are overconfident and unaware of their bad driving habits. Drivers will …
Deep feature extraction from EEG signals using xception model for emotion classification
Throughout the years, major advancements have been made in the field of EEG-based
emotion classification. Implementing deep architectures for supervised and unsupervised …
emotion classification. Implementing deep architectures for supervised and unsupervised …
Faster RCNN based robust vehicle detection algorithm for identifying and classifying vehicles
Deep convolutional neural networks (CNNs) have shown tremendous success in the
detection of objects and vehicles in recent years. However, when using CNNs to identify real …
detection of objects and vehicles in recent years. However, when using CNNs to identify real …
A CNN Approach for Emotion Recognition via EEG
Emotion recognition via electroencephalography (EEG) has been gaining increasing
attention in applications such as human–computer interaction, mental health assessment …
attention in applications such as human–computer interaction, mental health assessment …