Gesture recognition based on deep learning has the advantages of good accuracy, robustness and real-time implementation, but it also bears the disadvantages of huge economic and time costs and high hardware requirements.
Mar 7, 2024
In this paper, a novel model based on deep learning is proposed to improve the accuracy of EMG-based hand gesture recognition. A parallel architecture with five ...
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The paper realizes the segmentation of hand gestures by establishing the skin color model and AdaBoost classifier based on haar.
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(PDF) Gesture Recognition Based on Deep Learning: A Review
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This paper chooses three technologies that deep learning plays a more prominent role in gesture recognition, namely CNNs, LSTM and transfer learning based on ...
Mar 14, 2022 · We propose a recognition method based on a strategy combining 2D convolutional neural networks with feature fusion.
This gesture recognition using landmark detection and deep learning is a robust system that can effectively detect and classify hand gestures based on landmark ...
This paper proposes a lightweight model based on YOLO (You Only Look Once) v3 and DarkNet-53 convolutional neural networks for gesture recognition
Dec 12, 2022 · In this paper, we evaluate the effectiveness of a low-cost dataglove for classifying hand gestures in the light of deep learning.
A novel model based on deep learning is proposed to improve the accuracy of EMG-based hand gesture recognition by adopting a parallel architecture with five ...
This paper presents a novel methodology that utilizes gesture recognition data, which are collected with a Leap Motion Controller (LMC), in tandem with the ...