[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 …

[PDF][PDF] Real-time vernacular sign language recognition using mediapipe and machine learning

A Halder, A Tayade - Journal homepage: www. ijrpr. com ISSN, 2021 - researchgate.net
The deaf-mute community have undeniable communication problems in their daily life.
Recent developments in artificial intelligence tear down this communication barrier. The …

Quantitative survey of the state of the art in sign language recognition

O Koller - arXiv preprint arXiv:2008.09918, 2020 - arxiv.org
This work presents a meta study covering around 300 published sign language recognition
papers with over 400 experimental results. It includes most papers between the start of the …

RETRACTED ARTICLE: Machine learning based sign language recognition: a review and its research frontier

R Elakkiya - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
In the recent past, research in the field of automatic sign language recognition using
machine learning methods have demonstrated remarkable success and made momentous …

[PDF][PDF] Hand gesture recognition systems: a survey

AR Sarkar, G Sanyal, S Majumder - International Journal of Computer …, 2013 - Citeseer
Gesture was the first mode of communication for the primitive cave men. Later on human
civilization has developed the verbal communication very well. But still nonverbal …

A survey on manual and non-manual sign language recognition for isolated and continuous sign

SC Agrawal, AS Jalal… - International Journal of …, 2016 - inderscienceonline.com
Sign language recognition is an important area of human computer interaction (HCI). The
last decade witnessed a good number of publications in this field. Furthermore, several …

Classification of activities of daily living based on grasp dynamics obtained from a leap motion controller

H Sharif, A Eslaminia, P Chembrammel, T Kesavadas - Sensors, 2022 - mdpi.com
Stroke is one of the leading causes of mortality and disability worldwide. Several evaluation
methods have been used to assess the effects of stroke on the performance of activities of …

Application of machine learning techniques for real-time sign language detection using wearable sensors

N Saquib, A Rahman - Proceedings of the 11th ACM Multimedia …, 2020 - dl.acm.org
Sign language is a method of communication primarily used by the hearing impaired and
mute persons. In this method, letters and words are expressed by hand gestures. In …

A system for a hand gesture-manipulated virtual reality environment

A Clark, D Moodley - Proceedings of the Annual Conference of the South …, 2016 - dl.acm.org
Extensive research has been done using machine learning techniques for hand gesture
recognition (HGR) using camera-based devices; such as the Leap Motion Controller (LMC) …