May 5, 2021
This work aims to offer a real-time depth-based gesture recognition system using a hand’s skeletal information. The Tiny YOLOv3 neural network detects the hand in the depth image. The detected hand is rid of the background and used by the JGR-P2O neural network, which estimates the hand’s skeleton represented by 21 key points. Furthermore, a novel technique for gesture recognition from hand key points has been proposed that compares the input skeleton with user-defined gestures. A dataset consisting of four thousand images was captured to evaluate the system.
Bachelor's Thesis - Abstract
This work aims to offer a real-time, depth-based gesture recognition system using a hand’s skeletal information.
The Tiny YOLOv3 neural network detects the hand in the depth image.
The detected hand is rid of the background and used by the JGR-P2O neural network, which estimates the hand’s skeleton which in turn is represented by 21 key points.
Furthermore, a novel technique for gesture recognition from hand key points has been proposed that compares the input skeleton with user-defined gestures has been proposed.
A dataset consisting of four thousand images was captured to evaluate the system.
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Bachelor's Thesis - Abstract This sentence has been marked as perfect! |
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This work aims to offer a real-time depth-based gesture recognition system using a hand’s skeletal information. This work aims to offer a real-time, depth-based gesture recognition system using a hand’s skeletal information. |
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The Tiny YOLOv3 neural network detects the hand in the depth image. This sentence has been marked as perfect! |
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The detected hand is rid of the background and used by the JGR-P2O neural network, which estimates the hand’s skeleton represented by 21 key points. The detected hand is rid of the background and used by the JGR-P2O neural network, which estimates the hand’s skeleton which in turn is represented by 21 key points. |
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Furthermore, a novel technique for gesture recognition from hand key points has been proposed that compares the input skeleton with user-defined gestures. Furthermore, a novel technique for gesture recognition from hand key points |
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A dataset consisting of four thousand images was captured to evaluate the system. This sentence has been marked as perfect! |
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