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 …

Emerging wearable interfaces and algorithms for hand gesture recognition: A survey

S Jiang, P Kang, X Song, BPL Lo… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …

Gesture recognition using surface electromyography and deep learning for prostheses hand: state-of-the-art, challenges, and future

W Li, P Shi, H Yu - Frontiers in neuroscience, 2021 - frontiersin.org
Amputation of the upper limb brings heavy burden to amputees, reduces their quality of life,
and limits their performance in activities of daily life. The realization of natural control for …

A review of the key technologies for sEMG-based human-robot interaction systems

K Li, J Zhang, L Wang, M Zhang, J Li, S Bao - … Signal Processing and …, 2020 - Elsevier
As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …

Deep learning-based approach for sign language gesture recognition with efficient hand gesture representation

M Al-Hammadi, G Muhammad, W Abdul… - Ieee …, 2020 - ieeexplore.ieee.org
Hand gesture recognition is an attractive research field with a wide range of applications,
including video games and telesurgery techniques. Another important application of hand …

Surface EMG-based inter-session gesture recognition enhanced by deep domain adaptation

Y Du, W Jin, W Wei, Y Hu, W Geng - Sensors, 2017 - mdpi.com
High-density surface electromyography (HD-sEMG) is to record muscles' electrical activity
from a restricted area of the skin by using two dimensional arrays of closely spaced …

Dynamic gesture recognition using surface EMG signals based on multi-stream residual network

Z Yang, D Jiang, Y Sun, B Tao, X Tong… - … in Bioengineering and …, 2021 - frontiersin.org
Gesture recognition technology is widely used in the flexible and precise control of
manipulators in the assisted medical field. Our MResLSTM algorithm can effectively perform …

[HTML][HTML] Gesture interaction in virtual reality

LI Yang, J Huang, T Feng, W Hong-An… - Virtual Reality & …, 2019 - Elsevier
With the development of virtual reality (VR) and human-computer interaction technology,
how to use natural and efficient interaction methods in the virtual environment has become a …

A review on systems-based sensory gloves for sign language recognition state of the art between 2007 and 2017

MA Ahmed, BB Zaidan, AA Zaidan, MM Salih… - Sensors, 2018 - mdpi.com
Loss of the ability to speak or hear exerts psychological and social impacts on the affected
persons due to the lack of proper communication. Multiple and systematic scholarly …

American sign language alphabet recognition by extracting feature from hand pose estimation

J Shin, A Matsuoka, MAM Hasan, AY Srizon - Sensors, 2021 - mdpi.com
Sign language is designed to assist the deaf and hard of hearing community to convey
messages and connect with society. Sign language recognition has been an important …