Learning a compact embedding for fine-grained few-shot static gesture recognition
Gesture recognition and its applications have been widely studied and received much
attention in recent years. Existing works on hand gesture recognition aim to train …
attention in recent years. Existing works on hand gesture recognition aim to train …
Volumetric Occupancy Detection: A Comparative Analysis of Mapping Algorithms
Despite the growing interest in innovative functionalities for collaborative robotics, volumetric
detection remains indispensable for ensuring basic security. However, there is a lack of …
detection remains indispensable for ensuring basic security. However, there is a lack of …
Securing Contrastive mmWave-based Human Activity Recognition against Adversarial Label Flipping
A Singha, Z Bi, T Li, Y Chen, Y Zhang - … of the 17th ACM Conference on …, 2024 - dl.acm.org
Wireless Human Activity Recognition (HAR), leveraging their non-intrusive nature, has the
potential to revolutionize various sectors, including healthcare, virtual reality, and …
potential to revolutionize various sectors, including healthcare, virtual reality, and …
Hand Sign & Gesture Recognition System
P Raj, S Pandey, Y Singh… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Hand gestures serve as a form of non-verbal communication utilized in sign language,
primarily employed by individuals who are deaf or have hearing impairments to …
primarily employed by individuals who are deaf or have hearing impairments to …
Gesture Recognition Using FMCW Radar Based on Deep Neural Network
R Wang, W Xue, J Peng, X Yang - 2023 China Automation …, 2023 - ieeexplore.ieee.org
In recent years, radar based gesture recognition technology has attracted more and more
attention. Among different types of radars, frequency modulated continuous wave (FMCW) …
attention. Among different types of radars, frequency modulated continuous wave (FMCW) …