利用深度学习预测击打和插入动作的类型

Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2019-11-13 DOI:10.1145/3375923.3375954

K. Hoshino, Yuki Noguchi, Yuya Nakai, Yoshimasa Ozone, Maki Nakamura

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引用次数: 3

摘要

最终的目标是制造一个“剑道机器”，它易于使用，安全，有趣，并且可以为人类提供机械竞争对手。首先，使用深度学习技术安装了一个图像处理系统，该系统可以检测人类击打和插入运动的开始(初始运动)，并快速预测所使用的技术类型。

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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Predicting the Types of Striking and Thrusting Motions by using Deep Learning

The final goal is to make a "tankendo machine" that is easy to use, safe, fun, and can provide a mechanical competitor for humans. First, deep learning technology was used to install an image processing system that could detect the start (initial motion) of striking and thrusting motions by humans and quickly predict the type of technique used.

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Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering

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