Abstract Considering that existing device-based occupant detection methods cannot count those who do not carry a device, in this paper, for buildings where the behaviour of the occupants tends to be regular, taking the WiFi-based occupant detection method as a basis, we propose a p-persistent frequent itemsets with 1-right-hand-side (RHS)-based occupant detection algorithm to improve the occupant detection performance in terms of accuracy. Association analysis using apriori algorithm is utilized to predict the occupancy of buildings through mining the relationships among occupants. We mathematically prove the reasonability of frequent itemsets with 1-RHS chosen in our algorithm and show the experimental results of applying this approach with different p. The results show that our proposed method can improve the accuracy performance in that it can see the occupant in buildings that the WiFi-based occupant detection method cannot see.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A p-Persistent Frequent Itemsets with 1-RHS Based Correction Algorithm for Improving the Performance of WiFi-Based Occupant Detection Method


    Contributors:
    Wang, Ping (author) / Cao, Huaqian (author) / Chen, Si (author) / Li, Jiake (author) / Tu, Chang (author) / Zhang, Zhenya (author)


    Publication date :

    2019-01-01


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    Double-layer bayesian classifier ensembles based on frequent itemsets

    Yi, W. G. / Duan, J. / Lu, M. Y. | British Library Online Contents | 2012


    A Classification-Based Occupant Detection Method for Smart Home Using Multiple-WiFi Sniffers

    Wang, Ping / Cao, Huaqian / Chen, Si et al. | Springer Verlag | 2019


    Building the Data Warehouse of Frequent Itemsets in the DWFIST Approach

    Monteiro, R. S. / Zimbrao, G. / Schwarz, H. et al. | British Library Conference Proceedings | 2005


    OCCUPANT DETECTION APPARATUS, OCCUPANT DETECTION SYSTEM, AND OCCUPANT DETECTION METHOD

    YAMAGUCHI TAICHI | European Patent Office | 2018

    Free access