ESM El-Alfy, H Luqman - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Sign language relies on visual gestures of human body parts to convey meaning and plays a vital role in modern society to communicate and interact with people having hearing …
Y Gao, Z Zhang, H Lin, X Zhao, S Du… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Hypergraph learning is a technique for conducting learning on a hypergraph structure. In recent years, hypergraph learning has attracted increasing attention due to its flexibility and …
Y Kong, Y Fu - International Journal of Computer Vision, 2022 - Springer
Derived from rapid advances in computer vision and machine learning, video analysis tasks have been moving from inferring the present state to predicting the future state. Vision-based …
This paper presents Soli, a new, robust, high-resolution, low-power, miniature gesture sensing technology for human-computer interaction based on millimeter-wave radar. We …
J Huang, W Zhou, Q Zhang, H Li, W Li - Proceedings of the AAAI …, 2018 - ojs.aaai.org
Millions of hearing impaired people around the world routinely use some variants of sign languages to communicate, thus the automatic translation of a sign language is meaningful …
Y Zhang, C Cao, J Cheng, H Lu - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Gesture is a natural interface in human-computer interaction, especially interacting with wearable devices, such as VR/AR helmet and glasses. However, in the gesture recognition …
The recent introduction of novel acquisition devices like the Leap Motion and the Kinect allows to obtain a very informative description of the hand pose that can be exploited for …
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 …