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[HTML][HTML] Hand gesture recognition based on computer vision: a review of techniques
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 …
such as communication between deaf-mute people, robot control, human–computer …
Background subtraction in real applications: Challenges, current models and future directions
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
Abstract Evaluation and benchmarking of real-time skin detectors remain challenging
because of multiple evaluation attributes that must be considered. Numerous evaluation and …
because of multiple evaluation attributes that must be considered. Numerous evaluation and …
Intelligent control wheelchair using a new visual joystick
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 …
smart control device is suitable for a large number of patients who cannot manipulate a …
A comprehensive survey of video datasets for background subtraction
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 …
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
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 …
through mathematical algorithms, and can be used in several fields, such as communication …