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| Multi-camera systems for rehabilitation therapies: a study of the precision of Microsoft Kinect sensors |
| Miguel Oliver, Francisco Montero, José Pascual Molina, Pascual González, Antonio Fernández-Caballero |
| Instituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, Albacete 02071, Spain; Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, Albacete 02071, Spain |
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Abstract This paper seeks to determine how the overlap of several infrared beams affects the tracked position of the user, depending on the angle of incidence of light, distance to the target, distance between sensors, and the number of capture devices used. We also try to show that under ideal conditions using several Kinect sensors increases the precision of the data collected. The results obtained can be used in the design of telerehabilitation environments in which several RGB-D cameras are needed to improve precision or increase the tracking range. A numerical analysis of the results is included and comparisons are made with the results of other studies. Finally, we describe a system that implements intelligent methods for the rehabilitation of patients based on the results of the tests carried out.
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Received: 21 October 2015
Published: 05 April 2016
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应用于康复治疗的多摄像系统：微软Kinect传感器的精度研究
目的：借助多组Kinect传感器监控试验研究多组红外光束的重合对定位的影响。
方法：首先介绍了近年来使用微软Kinect传感器开发康复系统的研究成果，以及红外饱和度衍生问题的相关研究。指出现有研究没有系统全面考虑干扰因素以及不同传感器布局的影响。然后，采用一系列实验先后分析了监控器数量、光照角度以及传感器和病人之间的距离等因素对监控精度的影响；说明了在康复系统中适宜同时在一个房间中进行康复的合适病人数、病人本身的身体状况对监控准确度的影响、以及房间内部的机构对传感器布局的影响。最后，将本文的研究结果和已有研究成果进行详细对比，并将实验收集的数据和得到的结果用于预测康复系统中每种传感器布局的效果。
结论：本文试验发现能够支持康复治疗地点监控传感器的合理布局设计，并实现控制被监控病人的数量。当病人不在治疗的合适区域内时，能够给出提示并引导其移动至合适位置。在康复过程中，该系统能够帮助识别出最适合监控每一位病人的传感器。
关键词：
Kinect传感器,
康复系统,
捕捉精度,
多摄像系统
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