使用动态时间扭曲的手势识别

2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) Pub Date : 2020-09-01 DOI:10.1109/WETICE49692.2020.00061

M. Fugini, Jacopo Finocchi, Giulia Trasa

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引用次数: 2

摘要

本文提出了一种在“无缝”项目背景下识别人类手势的方法。在该项目中，物联网传感器收集的数据可以通过手势识别算法进行导航。在Seamless中识别人类手势的目的是通过可穿戴控制设备发出命令。本文概述了Seamless项目，然后重点介绍了我们使用机器学习来理解一组手势的方法。最后对所采用的模型和结果进行了说明。

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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Gesture Recognition using Dynamic Time Warping

This paper presents an approach to the recognition of human gestures in the context of the “Seamless” project. In the project, data collected by IoT sensors can be navigated through gesture recognition algorithms. The aim of recognizing human gestures in Seamless is to give commands through a wearable control device. The paper outlines the Seamless project and then concentrates on our approach to understand a set of gestures using Machine Learning. The employed model and the results are illustrated.

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来源期刊

2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)

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