An Optimal Solution for a Human Wrist Rotation Recognition System by Utilizing Visible Light Communication

Saman Zahiri-Rad, Ziad Salem, A. Weiss, E. Leitgeb
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Abstract

Wrist-worn devices enable access to essential information and they are suitable for a wide range of applications, such as gesture and activity recognition. Wrist-worn devices require appropriate technologies when used in sensitive areas, overcoming vulnerabilities in regard to security and privacy. In this work, we propose an approach to recognize wrist rotation by utilizing Visible Light Communication (VLC) that is enabled by low-cost LEDs in an indoor environment. In this regard, we address the channel model of a VLC communicating wristband (VLCcw) in terms of the following factors. The directionality and the spectral composition of the light and the corresponding spectral sensitivity and the directional characteristics of the utilized photodiode (PD). We verify our VLCcw from the simulation environment by a small-scale experimental setup. Then, we analyze the system when white and RGBW LEDs are used. In addition, we optimized the VLCcw system by adding more receivers for the purpose of reducing the number of LEDs on VLCcw. Our results show that the proposed approach generates a feasible real-world simulation environment.
一种基于可见光通信的人体手腕旋转识别系统的优化方案
佩戴在手腕上的设备可以访问基本信息,它们适用于广泛的应用,例如手势和活动识别。腕带设备在敏感区域使用时需要适当的技术,以克服安全和隐私方面的漏洞。在这项工作中,我们提出了一种在室内环境中利用低成本led实现的可见光通信(VLC)来识别手腕旋转的方法。在这方面,我们从以下因素来解决VLC通信腕带(VLCcw)的信道模型。光的方向性和光谱组成以及所利用的光电二极管(PD)相应的光谱灵敏度和方向特性。我们通过一个小规模的实验装置在模拟环境中验证了我们的VLCcw。然后,我们分析了使用白光和RGBW led时的系统。此外,我们通过增加更多的接收器来优化VLCcw系统,以减少VLCcw上的led数量。结果表明,本文提出的方法产生了一个可行的真实仿真环境。
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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