[HTML][HTML] Hand gesture recognition based on computer vision: a review of techniques

M Oudah, A Al-Naji, J Chahl - journal of Imaging, 2020 - mdpi.com
Hand gestures are a form of nonverbal communication that can be used in several fields
such as communication between deaf-mute people, robot control, human–computer …

Background subtraction in real applications: Challenges, current models and future directions

B Garcia-Garcia, T Bouwmans, AJR Silva - Computer Science Review, 2020 - Elsevier
Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

A deep convolutional neural network approach for static hand gesture recognition

V Adithya, R Rajesh - Procedia computer science, 2020 - Elsevier
The communication barrier and the hearing majority are the key social concerns of the deaf-
dumb community that prevent them from accessing the basic and essential services of the …

Exploiting domain transformation and deep learning for hand gesture recognition using a low-cost dataglove

MAA Faisal, FF Abir, MU Ahmed, MAR Ahad - Scientific Reports, 2022 - nature.com
Hand gesture recognition is one of the most widely explored areas under the human–
computer interaction domain. Although various modalities of hand gesture recognition have …

[HTML][HTML] An integrated real-time hand gesture recognition framework for human–robot interaction in agriculture

V Moysiadis, D Katikaridis, L Benos, P Busato… - Applied Sciences, 2022 - mdpi.com
Incorporating hand gesture recognition in human–robot interaction has the potential to
provide a natural way of communication, thus contributing to a more fluid collaboration …

A deep learning-based end-to-end composite system for hand detection and gesture recognition

AAQ Mohammed, J Lv, MS Islam - Sensors, 2019 - mdpi.com
Recent research on hand detection and gesture recognition has attracted increasing interest
due to its broad range of potential applications, such as human-computer interaction, sign …

Comprehensive insights into evaluation and benchmarking of real-time skin detectors: Review, open issues & challenges, and recommended solutions

QM Yas, AA Zaidan, BB Zaidan, B Rahmatullah… - Measurement, 2018 - Elsevier
Abstract Evaluation and benchmarking of real-time skin detectors remain challenging
because of multiple evaluation attributes that must be considered. Numerous evaluation and …

Intelligent control wheelchair using a new visual joystick

Y Rabhi, M Mrabet, F Fnaiech - Journal of healthcare …, 2018 - Wiley Online Library
A new control system of a hand gesture‐controlled wheelchair (EWC) is proposed. This
smart control device is suitable for a large number of patients who cannot manipulate a …

A comprehensive survey of video datasets for background subtraction

R Kalsotra, S Arora - IEEE access, 2019 - ieeexplore.ieee.org
Background subtraction is an effective method of choice when it comes to detection of
moving objects in videos and has been recognized as a breakthrough for the wide range of …

Robust hand gesture recognition using HOG-9ULBP features and SVM model

J Li, C Li, J Han, Y Shi, G Bian, S Zhou - Electronics, 2022 - mdpi.com
Hand gesture recognition is an area of study that attempts to identify human gestures
through mathematical algorithms, and can be used in several fields, such as communication …