Movement Path Estimation for Multiple Humans in a Room using Binary Infrared Sensors
Movement Path Estimation for Multiple Humans in a Room using Binary Infrared Sensors
复制标题
使用二进制红外传感器估计房间内多人的运动路径
DOI：
10.1109/icoin.2013.6496349
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
and T. Miyazaki
中科院分区：
文献类型：
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作者：
Y. Kasama;and T. Miyazaki
为了给房间里的人创造一个上下文感知的环境，必须考虑他们的位置和运动路径。在本文中，我们提出了一种算法，该算法仅使用附着在天花板上的红外传感器获得的二进制感知数据来估计人类的运动路径。我们的算法可以在不事先知道房间里有多少人的情况下估计出多个人类的运动路径。通过在每个时间段重复估计人的位置和从之前的人的位置到估计的人的位置的链接，可以估计人的运动路径。基于仿真的评估结果表明，该算法可以在平均0.6 m的误差范围内动态跟踪人体运动路径。
To create a context-aware environment for humans in a room, their locations and movement paths must be considered. In this paper, we propose an algorithm that estimates human movement paths only using the binary sensed data obtained by infrared (IR) sensors attached to the ceiling. Our algorithm can estimate multiple human movement paths without knowing the number of humans in the room beforehand. By repeating estimations of human positions and links from the previous human positions to the estimated ones at each time period, human movement paths can be estimated. Simulation-based evaluation results show that our algorithm can dynamically trace human movement paths within 0.6 m error on average.