Challenges and solutions for vision-based hand gesture interpretation: A review

K Gao, H Zhang, X Liu, X Wang, L **e, B Ji… - Computer Vision and …, 2024 - Elsevier
Hand gesture is one of the most efficient and natural interfaces in current human–computer
interaction (HCI) systems. Despite the great progress achieved in hand gesture-based HCI …

RETRACTED ARTICLE: The visual object tracking algorithm research based on adaptive combination kernel

Y Chen, J Wang, R **a, Q Zhang, Z Cao… - Journal of Ambient …, 2019 - Springer
In order to enhance the robustness to complicated changes of multiple objects and complex
background scene, the visual object tracking algorithm based on Adaptive Combination …

Recognition of basketball referee signals from real-time videos

J Žemgulys, V Raudonis, R Maskeliūnas… - Journal of Ambient …, 2020 - Springer
Recognition of hand gestures (hand signals) is an active research area for human computer
interaction with many possible applications. Automatic machine vision-based hand gesture …

A novel muscle-computer interface for hand gesture recognition using depth vision

X Zhou, W Qi, SE Ovur, L Zhang, Y Hu, H Su… - Journal of Ambient …, 2020 - Springer
Muscle computer Interface (muCI), one of the widespread human-computer interfaces, has
been widely adopted for the identification of hand gestures by using the electrical activity of …

Gesture image segmentation with Otsu's method based on noise adaptive angle threshold

L **ao, H Ouyang, C Fan, T Umer, RC Poonia… - Multimedia Tools and …, 2020 - Springer
By analyzing the essence and deficiency of the improved Otsu's method, this paper
proposes a noise adaptive angle threshold based Otsu's method for gesture image …

Trajectory prediction and tracking using a multi-behaviour social particle filter

V Malviya, R Kala - Applied Intelligence, 2022 - Springer
Abstract 3D motion tracking is a challenging task when both the tracked object and the
observer are moving. In this paper, we present a multi-behavioural social force-based …

Hand gestures recognition using edge computing system based on vision transformer and lightweight CNN

K Gupta, A Singh, SR Yeduri, MB Srinivas… - Journal of Ambient …, 2023 - Springer
Human-computer interaction, human-robot interaction, robotics, healthcare systems, health
assistive technologies, automotive user interfaces, crisis management, disaster relief …

Development of a hierarchical dynamic keyboard character recognition system using trajectory features and scale-invariant holistic modeling of characters

S Misra, RH Laskar - Journal of Ambient Intelligence and Humanized …, 2019 - Springer
A robust, intuitive, effortless, and novel dynamic hand gesture based virtual keyboard system
is developed in this study. Firstly, a new hierarchical approach is applied, which, based on …

Adaptive sensor fusion labeling framework for hand pose recognition in robot teleoperation

W Qi, X Liu, L Zhang, L Wu, W Zang, H Su - Assembly Automation, 2021 - emerald.com
Purpose The purpose of this paper is to mainly center on the touchless interaction between
humans and robots in the real world. The accuracy of hand pose identification and stable …

Algorithm of local features fusion and modified covariance-matrix technique for hand motion position estimation and hand gesture trajectory tracking approach

E Thabet, F Khalid, PS Sulaiman, R Yaakob - Multimedia Tools and …, 2021 - Springer
Nowadays, visual recognition based dynamic hand gesture tracking has gained very
considerable attention. Hand gestures can play an important role as a non-touchable …