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Adequate RSSI Determination Method by Making Use of SVM for Indoor Localization

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Abstract

Context-aware computing that recognizes the context in which a user performs a task is one of the most important techniques for supporting user activity in ubiquitous computing. To realize context-aware computing, a computer needs to recognize the user’s location. This paper describes a technique for location detection inside a room using radio waves from a user’s computer. The proposed technique has to be sufficiently robust to cater for dynamic environments and should require only ordinary network devices, such as radio signal emitters, without the need for special equipment. We propose performing localization by relative values of RSSI (Received Signal Strength Indicator) among wireless nodes. Furthermore, we use SVM (Support Vector Machine) to find the criteria for classification (whether a node is inside or outside a given area), in the case where absolute RSSI values are used for localization.

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© 2006 Springer-Verlag Berlin Heidelberg

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Miura, H., Sakamoto, J., Matsuda, N., Taki, H., Abe, N., Hori, S. (2006). Adequate RSSI Determination Method by Making Use of SVM for Indoor Localization. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_81

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  • DOI: https://doi.org/10.1007/11893004_81

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46537-9

  • Online ISBN: 978-3-540-46539-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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