Korean sign language recognition using transformer-based deep neural network
Sign language recognition (SLR) is one of the crucial applications of the hand gesture
recognition and computer vision research domain. There are many researchers who have …
recognition and computer vision research domain. There are many researchers who have …
Multi-stream general and graph-based deep neural networks for skeleton-based sign language recognition
Sign language recognition (SLR) aims to bridge speech-impaired and general communities
by recognizing signs from given videos. However, due to the complex background, light …
by recognizing signs from given videos. However, due to the complex background, light …
Dynamic fall detection using graph-based spatial temporal convolution and attention network
The prevention of falls has become crucial in the modern healthcare domain and in society
for improving ageing and supporting the daily activities of older people. Falling is mainly …
for improving ageing and supporting the daily activities of older people. Falling is mainly …
Sign language recognition using graph and general deep neural network based on large scale dataset
Sign Language Recognition (SLR) represents a revolutionary technology aiming to
establish communication between hearing impaired and non-hearing impaired …
establish communication between hearing impaired and non-hearing impaired …
Dynamic Korean sign language recognition using pose estimation based and attention-based neural network
Sign language recognition is crucial for improving communication accessibility for the
hearing impaired community and reducing dependence on human interpreters. Notably …
hearing impaired community and reducing dependence on human interpreters. Notably …
Hand gesture recognition for multi-culture sign language using graph and general deep learning network
Hand gesture-based Sign Language Recognition (SLR) serves as a crucial communication
bridge between hard of hearing and non-deaf individuals. The absence of a universal sign …
bridge between hard of hearing and non-deaf individuals. The absence of a universal sign …
A Deep Bidirectional LSTM Model Enhanced by Transfer-Learning-Based Feature Extraction for Dynamic Human Activity Recognition
Dynamic human activity recognition (HAR) is a domain of study that is currently receiving
considerable attention within the fields of computer vision and pattern recognition. The …
considerable attention within the fields of computer vision and pattern recognition. The …
[HTML][HTML] Camera-based interactive wall display using hand gesture recognition
Abstract the recognition of Hand gestures has become a critical point as it is widely used in
everyday applications. the challenge in this is to improve the recognition effect and develop …
everyday applications. the challenge in this is to improve the recognition effect and develop …
Static and Dynamic Hand Gestures: A Review of Techniques of Virtual Reality Manipulation
OM Herbert, D Pérez-Granados, MAO Ruiz… - Sensors, 2024 - mdpi.com
This review explores the historical and current significance of gestures as a universal form of
communication with a focus on hand gestures in virtual reality applications. It highlights the …
communication with a focus on hand gestures in virtual reality applications. It highlights the …
Stochastic neighbor embedding feature-based hyperspectral image classification using 3d convolutional neural network
MM Hossain, MA Hossain, AS Musa Miah, Y Okuyama… - Electronics, 2023 - mdpi.com
The ample amount of information from hyperspectral image (HSI) bands allows the non-
destructive detection and recognition of earth objects. However, dimensionality reduction …
destructive detection and recognition of earth objects. However, dimensionality reduction …