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Computer vision-based hand gesture recognition for human-robot interaction: a review
J Qi, L Ma, Z Cui, Y Yu - Complex & Intelligent Systems, 2024 - Springer
As robots have become more pervasive in our daily life, natural human-robot interaction
(HRI) has had a positive impact on the development of robotics. Thus, there has been …
(HRI) has had a positive impact on the development of robotics. Thus, there has been …
[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
A review of hand gesture and sign language recognition techniques
Hand gesture recognition serves as a key for overcoming many difficulties and providing
convenience for human life. The ability of machines to understand human activities and their …
convenience for human life. The ability of machines to understand human activities and their …
Deep learning for sign language recognition: Current techniques, benchmarks, and open issues
People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …
effective local level sign language recognition (SLR) tools is essential. We conducted a …
A comprehensive review of sign language recognition: Different types, modalities, and datasets
A machine can understand human activities, and the meaning of signs can help overcome
the communication barriers between the inaudible and ordinary people. Sign Language …
the communication barriers between the inaudible and ordinary people. Sign Language …
RETRACTED ARTICLE: A study on Arabic sign language recognition for differently abled using advanced machine learning classifiers
M Mustafa - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
This study is proposed to review the sign language recognition system based on different
classifier techniques. Mostly the Neural Network and Deep Learning-based classifiers were …
classifier techniques. Mostly the Neural Network and Deep Learning-based classifiers were …
Real-time Indian sign language (ISL) recognition
This paper presents a system which can recognise hand poses & gestures from the Indian
Sign Language (ISL) in real-time using grid-based features. This system attempts to bridge …
Sign Language (ISL) in real-time using grid-based features. This system attempts to bridge …
Exploring sign language detection on smartphones: A systematic review of machine and deep learning approaches
In this modern era of technology, most of the accessibility issues are handled with the help of
smart devices and cutting‐edge gadgets. Smartphones play a crucial role in addressing …
smart devices and cutting‐edge gadgets. Smartphones play a crucial role in addressing …
Hand gesture recognition method based on HOG-LBP features for mobile devices
H Lahiani, M Neji - Procedia Computer Science, 2018 - Elsevier
Hand Gesture recognition becomes a challenging task in computer vision field especially
after the appearance of mobile devices. Although gesture recognition algorithms have been …
after the appearance of mobile devices. Although gesture recognition algorithms have been …
Event-based gesture recognition with dynamic background suppression using smartphone computational capabilities
In this paper, we introduce a framework for dynamic gesture recognition with background
suppression operating on the output of a moving event-based camera. The system is …
suppression operating on the output of a moving event-based camera. The system is …