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Performance Evaluation of an Indoor Positioning Scheme Using Infrared Motion Sensors

Electronic Engineering Departmen, Kwangwoon University, 447-1 Wolgye-dong, Nowon-gu, Seoul 139-701, Korea
Author to whom correspondence should be addressed.
Information 2014, 5(4), 548-557;
Received: 13 June 2014 / Revised: 15 October 2014 / Accepted: 16 October 2014 / Published: 27 October 2014
(This article belongs to the Special Issue Advances on the Internet of Things in a Smart Environment)
PDF [1592 KB, uploaded 27 October 2014]


Internet of Things (IoT) for Smart Environments (SE) is a new scenario that collects useful information and provides convenient services to humans via sensing and wireless communications. Infra-Red (IR) motion sensors have recently been widely used for indoor lighting because they allow the system to detect whether a human is inside or outside the sensors’ range. In this paper, the performance of a position estimation scheme based on IR motion sensor is evaluated in an indoor SE. The experimental results show that we can track the dynamic position of a pedestrian in straight moving model as well as two dimensional models. Experimental results also show that higher performance in accuracy and dynamic tracking in real indoor environment can be achieved without other devices. View Full-Text
Keywords: indoor positioning; IR; motion sensor; area measurement indoor positioning; IR; motion sensor; area measurement

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Jing, C.; Zhou, B.; Kim, N.; Kim, Y. Performance Evaluation of an Indoor Positioning Scheme Using Infrared Motion Sensors. Information 2014, 5, 548-557.

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