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 …

[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis

IA Adeyanju, OO Bello, MA Adegboye - Intelligent Systems with …, 2021 - Elsevier
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 …

A review of hand gesture and sign language recognition techniques

MJ Cheok, Z Omar, MH Jaward - International Journal of Machine …, 2019 - Springer
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 …

Deep learning for sign language recognition: Current techniques, benchmarks, and open issues

M Al-Qurishi, T Khalid, R Souissi - IEEE Access, 2021 - ieeexplore.ieee.org
People with hearing impairments are found worldwide; therefore, the development of
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

M Madhiarasan, PP Roy - arxiv preprint arxiv:2204.03328, 2022 - arxiv.org
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 …

RETRACTED ARTICLE: A study on Arabic sign language recognition for differently abled using advanced machine learning classifiers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 …

Real-time Indian sign language (ISL) recognition

K Shenoy, T Dastane, V Rao… - 2018 9th international …, 2018 - ieeexplore.ieee.org
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 …

Exploring sign language detection on smartphones: A systematic review of machine and deep learning approaches

I Alam, A Hameed, RA Ziar - Advances in Human‐Computer …, 2024 - Wiley Online Library
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 …

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 …

Event-based gesture recognition with dynamic background suppression using smartphone computational capabilities

JM Maro, SH Ieng, R Benosman - Frontiers in neuroscience, 2020 - frontiersin.org
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 …