Continuous Hand Gesture Recognition for Human-Robot Collaborative Assembly

B Kwolek - Proceedings of the IEEE/CVF International …, 2023 - openaccess.thecvf.com
In this work, we present a framework for dynamic hand gesture recognition on RGB images
acquired by an overhead camera. The recognition is realized for Methods Time …

A Fast-Response Dynamic-Static Parallel Attention GCN Network for Body–Hand Gesture Recognition in HRI

X Guo, Q Zhu, Y Wang, Y Mo, J Sun… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Human–robot interaction (HRI) systems are crucial in robotics, natural, fast-response, and
multimodal are the future trends in their development. However, current interaction methods …

A unified deep framework for hand pose estimation and dynamic hand action recognition from first-person rgb videos

VD Le, VN Hoang, TT Nguyen, VH Le… - … Analysis and Pattern …, 2021 - ieeexplore.ieee.org
Understanding hand action from the first-person video has emerged recently thanks to its
wide potential applications such as hand rehabilitation, augmented reality. The majority of …

A deep learning-based multimodal depth-aware dynamic hand gesture recognition system

H Mahmud, MM Morshed, MK Hasan - arXiv preprint arXiv:2107.02543, 2021 - arxiv.org
The dynamic hand gesture recognition task has seen studies on various unimodal and
multimodal methods. Previously, researchers have explored depth and 2D-skeleton-based …

HRI-Gestures: Gesture Recognition for Human-Robot Interaction

A Kollakidou, F Haarslev… - … of the 17th …, 2022 - portal.findresearcher.sdu.dk
Most of people's communication happens through body language and gestures. Gesture
recognition in human-robot interaction is an unsolved problem which limits the possible …

Hand gesture recognition using densely connected deep residual network and channel attention module for mobile robot control

JP Sahoo, SP Sahoo, S Ari… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Navigating a mobile robot in an indoor or outdoor environment is an interesting research
area for human–robot collaboration (HRC). In such a scenario, hand gesture offers some …

Deep learning-based hand gesture recognition for collaborative robots

C Nuzzi, S Pasinetti, M Lancini… - IEEE Instrumentation …, 2019 - ieeexplore.ieee.org
This paper is a first step towards a smart hand gesture recognition set up for Collaborative
Robots using a Faster R-CNN Object Detector to find the accurate position of the hands in …

3D skeletal joints-based hand gesture spotting and classification

NH Nguyen, TDT Phan, SH Kim, HJ Yang, GS Lee - Applied Sciences, 2021 - mdpi.com
This paper presents a novel approach to continuous dynamic hand gesture recognition. Our
approach contains two main modules: gesture spotting and gesture classification. Firstly, the …

Dynamic hand gesture recognition based on short-term sampling neural networks

W Zhang, J Wang, F Lan - IEEE/CAA Journal of Automatica …, 2020 - ieeexplore.ieee.org
Hand gestures are a natural way for human-robot interaction. Vision based dynamic hand
gesture recognition has become a hot research topic due to its various applications. This …

Ipn hand: A video dataset and benchmark for real-time continuous hand gesture recognition

G Benitez-Garcia, J Olivares-Mercado… - 2020 25th …, 2021 - ieeexplore.ieee.org
Continuous hand gesture recognition (HGR) is an essential part of human-computer
interaction with a wide range of applications in the automotive sector, consumer electronics …