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Korean sign language alphabet recognition through the integration of handcrafted and deep learning-based two-stream feature extraction approach
Recognizing sign language plays a crucial role in improving communication accessibility for
the Deaf and hard-of-hearing communities. In Korea, many individuals facing hearing and …
the Deaf and hard-of-hearing communities. In Korea, many individuals facing hearing and …
Anomaly detection in weakly supervised videos using multistage graphs and general deep learning based spatial-temporal feature enhancement
Weakly supervised video anomaly detection (WS-VAD) is a crucial research domain in
computer vision for the implementation of intelligent surveillance systems. Many researchers …
computer vision for the implementation of intelligent surveillance systems. Many researchers …
An advanced deep learning based three-stream hybrid model for dynamic hand gesture recognition
In the modern context, hand gesture recognition has emerged as a focal point. This is due to
its wide range of applications, which include comprehending sign language, factories …
its wide range of applications, which include comprehending sign language, factories …
Artificial intelligence in sign language recognition: A comprehensive bibliometric and visual analysis
Sign language recognition (SLR) plays a crucial role in bridging the communication gap
between individuals with hearing impairments and the auditory communities. This study …
between individuals with hearing impairments and the auditory communities. This study …
Hand gesture recognition using sEMG signals with a multi-stream time-varying feature enhancement approach
Hand gesture recognition based on sparse multichannel surface electromyography (sEMG)
still poses a significant challenge to deployment as a muscle–computer interface. Many …
still poses a significant challenge to deployment as a muscle–computer interface. Many …
FireLite: Leveraging Transfer Learning for Efficient Fire Detection in Resource-Constrained Environments
Fire hazards are extremely dangerous, particularly in sectors such as the transportation
industry, where political unrest increases the likelihood of their occurrence. By employing IP …
industry, where political unrest increases the likelihood of their occurrence. By employing IP …
A Comprehensive Methodological Survey of Human Activity Recognition Across Divers Data Modalities
Human Activity Recognition (HAR) systems aim to understand human behaviour and assign
a label to each action, attracting significant attention in computer vision due to their wide …
a label to each action, attracting significant attention in computer vision due to their wide …
[HTML][HTML] Two-Stream Modality-Based Deep Learning Approach for Enhanced Two-Person Human Interaction Recognition in Videos
Human interaction recognition (HIR) between two people in videos is a critical field in
computer vision and pattern recognition, aimed at identifying and understanding human …
computer vision and pattern recognition, aimed at identifying and understanding human …
Holistic-Based Cross-Attention Modal Fusion Network for Video Sign Language Recognition
As a bridge between the deaf people and the outside, sign language primarily involves hand
movements, complemented by intricate facial and body expressions. To enhance the …
movements, complemented by intricate facial and body expressions. To enhance the …
Multimodal Attention-Enhanced Feature Fusion-Based Weakly Supervised Anomaly Violence Detection
Weakly supervised video anomaly detection (WS-VAD) plays a pivotal role in advancing
intelligent surveillance systems within the field of computer vision. Despite significant …
intelligent surveillance systems within the field of computer vision. Despite significant …