基于迁移学习的家庭自动化手势识别

2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2018-10-01 DOI:10.1109/ICIIBMS.2018.8549921

Sehoon Yang, Sang-Joon Lee, Yungcheo l Byun

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引用次数: 7

摘要

手势识别在家居设备控制等自动化领域有着广泛的应用。如今，智能手机是一种非常常见的设备，可以用来捕捉手势信息。在本文中，我们提出了一种使用机器学习识别手势的方法，该方法使用从智能手机中的陀螺仪传感器收集的手势数据。我们实现并测试了我们的方法，结果，我们发现该方法显示出可接受的家庭自动化识别率。

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 for Home Automation Using Transfer Learning

Gesture recognition has lots of applications in automation including home device control. Nowadays, a smartphone is a very common device which can be utilized to capture gesture information. In this paper, we propose a method to recognize gestures using machine learning, which uses gesture data collected from a gyroscope sensor in a smartphone. We implemented and tested to verify our method, and as a result, we found that the method showed an acceptable rate of recognition for home automation.

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2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)

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