Vision-based hand gesture recognition using deep learning for the interpretation of sign language
Hand gestures have been the key component of communication since the beginning of an
era. The hand gestures are the foundation of sign language, which is a visual form of …
era. The hand gestures are the foundation of sign language, which is a visual form of …
Vision-based sign language recognition system: A Comprehensive Review
Communication is an essential activity for a human being to express their feeling, ideas,
work together, and for the overall development of society. A person with a hearing disability …
work together, and for the overall development of society. A person with a hearing disability …
Recognition of Indian sign language (ISL) using deep learning model
An efficient sign language recognition system (SLRS) can recognize the gestures of sign
language to ease the communication between the signer and non-signer community. In this …
language to ease the communication between the signer and non-signer community. In this …
A computing offloading resource allocation scheme using deep reinforcement learning in mobile edge computing systems
X Li - Journal of Grid Computing, 2021 - Springer
Aiming at the problems of increased latency and energy consumption and decreased
service quality caused by current vehicle networks, this paper proposes a computing …
service quality caused by current vehicle networks, this paper proposes a computing …
ISL recognition system using integrated mobile-net and transfer learning method
S Sharma, S Singh - Expert Systems with Applications, 2023 - Elsevier
A sign language recognition system (SLRS) facilitates the flow of information between the
signer and non-signer communities. In recent years, deep learning has become ubiquitous …
signer and non-signer communities. In recent years, deep learning has become ubiquitous …
Multi-level taxonomy review for sign language recognition: Emphasis on indian sign language
NK Bahia, R Rani - ACM Transactions on Asian and Low-Resource …, 2023 - dl.acm.org
With the phenomenal increase in image and video databases, there is an increase in the
human-computer interaction that recognizes Sign Language. Exchanging information using …
human-computer interaction that recognizes Sign Language. Exchanging information using …
Taguchi-TOPSIS based HOG parameter selection for complex background sign language recognition
This paper presents an approach to design Indian Sign Language (ISL) recognition system
for complex background. In many applications, Histogram of Oriented Gradients (HOG) have …
for complex background. In many applications, Histogram of Oriented Gradients (HOG) have …
A comprehensive framework for advanced protein classification and function prediction using synergistic approaches: Integrating bispectral analysis, machine …
Proteins are fundamental components of diverse cellular systems and play crucial roles in a
variety of disease processes. Consequently, it is crucial to comprehend their structure …
variety of disease processes. Consequently, it is crucial to comprehend their structure …
Vision-based Pakistani sign language recognition using bag-of-words and support vector machines
In order to perform their daily activities, a person is required to communicating with others.
This can be a major obstacle for the deaf population of the world, who communicate using …
This can be a major obstacle for the deaf population of the world, who communicate using …
A deep learning approach for Indian sign language gestures classification with different backgrounds
R Dhiman, G Joshi, CR Krishna - Journal of Physics: Conference …, 2021 - iopscience.iop.org
The sign language recognition system recently has drawn the attention of various
researchers as there is no universal sign language, moreover, it consists of many patterns …
researchers as there is no universal sign language, moreover, it consists of many patterns …