Demo Abstract: PosePair: Pairing IoT Devices through Visual Human Pose Analysis

Carlos Ruiz, Shijia Pan, Alberto Sadde, H. Noh, Pei Zhang
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引用次数: 4

Abstract

In the Internet of Things (IoT) paradigm, it is important to easily setup and control devices, which is achieved by pairing. In this work, we present a novel pairing scheme that utilizes heterogeneous sensing. The core idea is that devices with different sensing capabilities can still detect common information about their user. We demonstrate this idea through an example application consisting of a camera and IoT devices with inertial sensors. As the user holds a device and moves it around, the camera captures the human's pose and compares it to the IoT device motion. If the motion features are similar enough, the device can be successfully paired to the camera's network.
摘要:PosePair:通过视觉人体姿势分析对物联网设备进行配对
在物联网(IoT)范例中,轻松设置和控制设备非常重要,这可以通过配对来实现。在这项工作中,我们提出了一种利用异构感知的新型配对方案。其核心思想是,具有不同传感能力的设备仍然可以检测有关其用户的共同信息。我们通过一个由相机和带有惯性传感器的物联网设备组成的示例应用程序来演示这一想法。当用户拿着设备并移动它时,摄像头会捕捉到人的姿势,并将其与物联网设备的运动进行比较。如果运动特征足够相似,设备就可以成功地与摄像机的网络配对。
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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