For this problem, a dynamic hand gesture recognition method that combines the trajectory with the hand shape is proposed in this paper. First, we use depth images to determine the hand region and extract the location of palm center, avoiding the effect of lighting condition and complex environment.
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First, we separate the hand region from background based on depth information and extract the hand contour by canny edge detector. Second, we calculate the ...
This paper uses depth images to determine the hand region and extract the location of palm center, and presents a method which combines convex hull with ...
The subject disclosure is directed towards a technology by which dynamic hand gestures are recognized by processing depth data, including in real-time.
This approach uses a variety of data such as depth video, joint poses, and voice information to classify upper limb gestures and hand gestures. [10] proposed a ...
This paper introduces a new approach for hand gesture recognition based on depth Map captured by an RGB-D Kinect camera.
Mar 14, 2022 · Dynamic gesture recognition considers the spatial and temporal information of the whole process and can recognize the change process of the ...
Oct 23, 2022 · With the emergence of depth cameras, the depth information obtained from depth sensors can better exclude problems such as background lighting ...
Jul 14, 2021 · In this paper, we try to implement a hand gesture recognition system that makes use of the time-series representation of the contour points of ...
Jul 22, 2020 · In this paper, we propose to combine the power of two deep learning techniques, the convolutional neural networks (CNN) and the recurrent neural networks (RNN),