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SmartMoveX on a Graph ― An Inexpensive Active Badge Tracker

机译:图形上的SmartMoveX ―便宜的有源徽章跟踪器

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摘要

Measuring the locations of people in a building is an important part of ubiquitous computing. We present new hardware and software for this purpose. The hardware, called SmartMoveX, is an active badge system in which a small radio transmitter is attached to the person being tracked. Receivers placed in the building's existing offices, connected to existing PCs, transmit signal strength readings to a central PC using the building's existing computer network. Combined with the low cost of the hardware, using the existing network makes this active badge system much less expensive than many others. To compute locations based on signal strength, we gathered signal strength readings from predefined location nodes in the building. We defined a graph on these nodes, which allowed us to enforce constraints on computed movements between nodes (e.g. cannot pass through walls) and to probabilistically enforce our expectations on transitions between connected nodes. Modeling the data with a hidden Markov model, we used the Viterbi algorithm to compute optimal paths based on signal strengths over the node graph. The average location error was 3.05 meters, which compared favorably to a simple nearest neighbor algorithm's average location error of 4.57 meters.
机译:测量建筑物中人员的位置是无处不在的计算的重要组成部分。为此,我们提出了新的硬件和软件。称为SmartMoveX的硬件是一种主动式胸卡系统,其中一个小型无线电发射器连接到被跟踪的人。放置在建筑物现有办公室中的接收器(连接到现有PC)使用建筑物的现有计算机网络将信号强度读数传输到中央PC。结合硬件的低成本,使用现有网络使该主动式胸卡系统的成本大大低于其他许多系统。为了根据信号强度计算位置,我们从建筑物中的预定义位置节点收集了信号强度读数。我们在这些节点上定义了一个图形,这使我们可以对节点之间的计算运动施加约束(例如,不能穿过墙),并可以概率性地实现我们对连接节点之间的过渡的期望。使用隐马尔可夫模型对数据进行建模,我们使用维特比算法根据节点图上的信号强度来计算最佳路径。平均位置误差为3.05米,与简单的最近邻居算法的平均位置误差4.57米相比,具有优势。

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