A new method for hand gesture recognition that is based on a hand gesture fitting procedure via a new Self-Growing and Self-Organized Neural Gas (SGONG) ...
Missing: identification | Show results with:identification
People also ask
What algorithm is used for hand gesture recognition?
How is CNN used in hand gesture recognition?
What is the hand gesture recognition model?
What is the dynamic hand gesture recognition dataset?
Mar 14, 2022 · Among the many gesture recognition methods, they can be divided into two categories: static gesture recognition and dynamic gesture recognition.
In this paper we proposed a method for recognizing hand gestures. We have designed a system which can identify specific hand gestures and use them to convey ...
In this paper, a static hand gesture recognition method deploying CNN was proposed. Data augmentation like re-scaling, zooming, shearing, rotation, width and ...
Missing: identification | Show results with:identification
A non-linear neural network with four convolutional layers is used in this model to extract the features of hand gesture images. For achieving robust ...
Jan 13, 2021 · If you have a data set of numeric features, then you can train a deep learning network using a feature input layer.
May 26, 2011 · I'd suggest using a neural network. You could teach it what the shapes look like. This is one library for example: Neural Networks on C#.
This paper presents a novel technique for recognize the hand gesture during human–computer interaction by exploring the neural network-based approach.
Apr 22, 2022 · A hybrid model of deep convolutional long short-term memory network has been utilized for the recognition of the proposed hand gestures and ...
May 3, 2020 · Open-CV is fastest way to get started. Use blender or unity or GDL studio or Sign Language Translator and kinect if you just want to play around.