基于深度学习和自注意机制的鹤类手势识别系统

2022 SICE International Symposium on Control Systems (SICE ISCS) Pub Date : 2022-03-08 DOI:10.23919/SICEISCS54350.2022.9754520

Keigo Watanabe, Maierdan Maimaitimin, Kazuki Yamamoto, I. Nagai

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引用次数: 1

摘要

本研究旨在通过引入深度学习系统，识别起重协调器的手势，实现起重机的自动化操作。本文首先阐述了手势识别系统的概要，并介绍了骨骼检测及其精度提高技术。在此基础上，利用1DCNN构建了手势识别系统，并通过引入自注意机制，验证了识别精度的提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Gesture Recognition System for Cranes Using Deep Learning with a Self-attention Mechanism

This research is aimed at recognizing the gesture of a lifting coordinator and automating the operation of a crane by introducing a system with deep learning. This paper first explains the outline of a gesture recognition system, and describes skeletal detection and its accuracy improvement technique. Furthermore, a gesture recognition system is constructed using a 1DCNN, and the recognition accuracy is verified to be improved by introducing a self-attention mechanism.

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2022 SICE International Symposium on Control Systems (SICE ISCS)

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