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 …

Gesture recognition for human-robot collaboration: A review

H Liu, L Wang - International Journal of Industrial Ergonomics, 2018 - Elsevier
Recently, the concept of human-robot collaboration has raised many research interests.
Instead of robots replacing human workers in workplaces, human-robot collaboration allows …

Survey on 3D hand gesture recognition

H Cheng, L Yang, Z Liu - … on circuits and systems for video …, 2015 - ieeexplore.ieee.org
Three-dimensional hand gesture recognition has attracted increasing research interests in
computer vision, pattern recognition, and human-computer interaction. The emerging depth …

Conformal, Ultra‐thin Skin‐Contact‐Actuated Hybrid Piezo/Triboelectric Wearable Sensor Based on AlN and Parylene‐Encapsulated Elastomeric Blend

M Mariello, L Fachechi, F Guido… - Advanced Functional …, 2021 - Wiley Online Library
Flexible electronics based on piezoelectric/triboelectric devices is an attractive technology
for human sensing. Their hybridization overcomes the limitations of single components …

Gesturar: An authoring system for creating freehand interactive augmented reality applications

T Wang, X Qian, F He, X Hu, Y Cao… - The 34th Annual ACM …, 2021 - dl.acm.org
Freehand gesture is an essential input modality for modern Augmented Reality (AR) user
experiences. However, develo** AR applications with customized hand interactions …

[КНИГА][B] Markov models for pattern recognition: from theory to applications

GA Fink - 2014 - books.google.com
Markov models are extremely useful as a general, widely applicable tool for many areas in
statistical pattern recognition. This unique text/reference places the formalism of Markov …

RETRACTED ARTICLE: Machine learning based sign language recognition: a review and its research frontier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

WristCam: A wearable sensor for hand trajectory gesture recognition and intelligent human–robot interaction

F Chen, H Lyu, Z Pang, J Zhang, Y Hou… - IEEE Sensors …, 2018 - ieeexplore.ieee.org
As a promising component for body sensor networks, the wearable sensors for hand gesture
recognition have increasingly received great attention in recent years. By interpreting human …

Continuous Indian sign language gesture recognition and sentence formation

K Tripathi, NBGC Nandi - Procedia Computer Science, 2015 - Elsevier
Hand gestures are a strong medium of communication for hearing impaired society. It is
helpful for establishing interaction between human and computer. In this paper we proposed …

Towards robust human-robot collaborative manufacturing: Multimodal fusion

H Liu, T Fang, T Zhou, L Wang - IEEE Access, 2018 - ieeexplore.ieee.org
Intuitive and robust multimodal robot control is the key toward human–robot collaboration
(HRC) for manufacturing systems. Multimodal robot control methods were introduced in …