A Subarea Mapping Approach for Indoor Localization

Shumeii Zhang, Paul McCullagh, Chris Nugent, Huiru Zheng, Norman Black

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Citations (Scopus)


Location information can be useful to construct a profile of a person’s activities of daily living. This paper proposes an approach with the aim of improving the accuracy and robustness of a location recognition approach based on RFID technology. A method was introduced for the optimal deployment of an RFID reader network, which aims to minimize the hardware cost whilst achieving high localization accuracy. A functional subarea mapping approach was proposed based on both a coarse-grained and a fine-grained method. Experimental results indicated that the coarse-grained mapping provided a higher overall accuracy of location detection. The average subarea location accuracy achieved based on coarse-grained and fine-grained data was 85.4% and 68.7%, respectively. Nevertheless it was found that the fine-grained mapping approach was capable of providing more information in relation to the details of the functional subareas. This implies that we need to balance the requirements between the size of the subareas and the location accuracy.
Original languageEnglish
Title of host publicationToward Useful Services for Elderly and People with Disabilities 9th International Conference on Smart Homes and Health Telematics, ICOST 2011, Montreal, Canada, June 20-22, 2011. Proceedings
EditorsBessam Abdulrazak, Sylvain Giroux, Bruno Bouchard, Hélène Pigot, Mounir Mokhtari
ISBN (Print)978-3-642-21534-6
Publication statusPublished (in print/issue) - 2011


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