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Artificial Intelligence Applications and Innovations AIAI 2012 International Workshops: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB Halkidiki, Greece, September 27-30, 2012, Part II |
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Conference papers
Conformal Prediction for Indoor Localisation with Fingerprinting Method
Abstract : Indoor localisation is the state-of-the-art to identify and observe a moving human or object inside a building. Location Fingerprinting is a cost-effective software-based solution utilising the built-in wireless signal of the building to estimate the most probable position of a real-time signal data. In this paper, we apply the Conformal Prediction (CP) algorithm to further enhance the Fingerprinting method. We design a new nonconformity measure with the Weighted K-nearest neighbours (W-KNN) as the underlying algorithm. Empirical results show good performance of the CP algorithm.
Cited literature [10 references]
https://hal.archives-ouvertes.fr/hal-01523074
Contributor : Hal Ifip <>
Submitted on : Tuesday, May 16, 2017 - 9:17:08 AM
Last modification on : Thursday, March 5, 2020 - 5:41:45 PM
Long-term archiving on: : Friday, August 18, 2017 - 12:20:30 AM
Contributor : Hal Ifip <>
Submitted on : Tuesday, May 16, 2017 - 9:17:08 AM
Last modification on : Thursday, March 5, 2020 - 5:41:45 PM
Long-term archiving on: : Friday, August 18, 2017 - 12:20:30 AM
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