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This method uses a neural network to estimate the 2D coordinates of a hand region in an image from color information. From the time series data of hand coordinates, we estimate the gesture motion by 1D Fast Fourier Transform. The proposed method identifies seven types of gestures and manipulates the UAV.
Abstract: In this study, we propose a gesture recognition method for operating an unmanned aerial vehicle (UAV) equipped with only a single camera.
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In this study, we discuss a unmanned aerial vehicle operation system by recognizing human gestures. Here, we focus on both dynamic and static gestures.
Jul 19, 2023 · This paper provides an analysis of hand gesture recognition using both monocular cameras and RGB-D cameras for this purpose.
Abstract. This paper describes a new methodology for hand gesture recognition and its corresponding application to a real-time Human Robot Hand Interaction ...
Aug 5, 2022 · In this study, we discuss a unmanned aerial vehicle operation system by recognizing human gestures. Here, we focus on both dynamic and static ...
Video for Gesture Recognition Using Hand Region Estimation in Robot Manipulation.
Duration: 1:11:40
Posted: Mar 13, 2022
Missing: Region Manipulation.
Mar 14, 2024 · This paper employed a LeapMotion sensor to develop a mobile robot control system based on gesture recognition, which mainly established connections through a ...
This paper proposes a framework for industrial and collaborative robot programming based on the integration of hand gestures and poses.
In this study, we discuss a unmanned aerial vehicle operation system by recognizing human gestures. Here, we focus on both dynamic and static gestures.