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A Subarea Mapping Approach for Indoor Localization

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Zhang, Shumeii, McCullagh, Paul, Nugent, Chris, Zheng, Huiru and Black, Norman (2011) A Subarea Mapping Approach for Indoor Localization. In: Toward 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. (Eds: Abdulrazak, Bessam, Giroux, Sylvain, Bouchard, Bruno, Pigot, Hélène and Mokhtari, Mounir), Springer: Lecture Notes in Computer Science, pp. 80-87. ISBN 978-3-642-21534-6 [Book section]

Full text not available from this repository.

DOI: 10.1007/978-3-642-21535-3_11

Abstract

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.

Item Type:Book section
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Smart Environments
ID Code:20846
Deposited By:Dr Paul McCullagh
Deposited On:30 Jan 2012 16:03
Last Modified:30 Jan 2012 16:03

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