A new approach to interact with an industrial robot using hand gestures is presented. System proposed here can learn a first time user's hand gestures�...
The goal of the overall project is to address complexity issues related to robot programming by providing a multi-modal user friendly interacting system that�...
System proposed here can learn a first time userpsilas hand gestures rapidly. This improves product usability and acceptability. Artificial neural networks�...
Artificial neural networks trained with the evolution strategy technique are found to be suited for this problem. The gesture recognition system is an�...
Mar 27, 2024 � Abstract—Hand gesture recognition (HGR) based on multi- modal data has attracted considerable attention owing to its great potential in�...
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Jan 18, 2022 � A real-time hand gesture recognition system should aim to develop a user-independent interface with high recognition performance. Nowadays,�...
May 17, 2024 � In this paper, we propose a Binary Convolutional Neural Network (BCNN) based Deep Learning (DL) inference pipeline for gesture recognition in a car�...
Convolutional neural networks (CNN) are widely used for image feature extraction and recurrent neural networks (RNN) for sequence modeling, and these techniques.
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�...
Aug 24, 2022 � The primary goal is to identify human gestures using machine learning and mathematical algorithms for human-computer interaction.