Low Cost Hand Gesture Control in Complex Environment Using Raspberry Pi

2019 International SoC Design Conference (ISOCC) Pub Date : 2019-10-01 DOI:10.1109/ISOCC47750.2019.9027669

Chana Chansri, J. Srinonchat, E. Lim, K. Man

引用次数: 2

Abstract

This article focuses on implementation in an embedded system with Raspberry Pi to a standalone machine for controlling electronic devices which wirelessly controlled by a hand gesture in the complex environment background. This system uses the RGB camera in combination with Raspberry Pi, a popular device today due to the inexpensive price and reliable performance. The hand gesture detection in each frame uses the radian fingertip analysis technique, a new technique presented which does not require any data training. This technique provides a good robust for light effect and complex environment. The experiment had been tested with the America Sign Language fingerspelling 12 gestures, the results found that 90.83%.

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树莓派在复杂环境下的低成本手势控制

本文主要介绍如何在一个嵌入式系统中实现树莓派在一个独立的机器上控制电子设备，在复杂的环境背景下通过手势进行无线控制。该系统使用RGB相机与树莓派相结合，树莓派是当今流行的设备，因为价格便宜，性能可靠。每帧的手势检测采用弧度指尖分析技术，这是一种不需要任何数据训练的新技术。这种技术为光效和复杂环境提供了良好的鲁棒性。该实验用美国手语进行了12个手势的拼法测试，结果发现90.83%。

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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2019 International SoC Design Conference (ISOCC)

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