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Adaptive sensor cooperation for predicting human mobility

Published: 13 September 2014 Publication History

Abstract

My thesis focuses on the prediction of human mobility. I am interested in gaining a deeper understanding of the factors that influence the performance of human mobility prediction algorithms. The main contributions of my work are: the analyses of different factors that influence the performance of mobility predictors, the design and development of a self-adaptive approach for detecting and recognizing users' relevant places, and estimating users' momentary predictability. The latter contribution aims to enable the possibility for the application scenarios to decide how much to trust the provided predictions and mobility data.

References

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A. Nicholson et al. BreadCrumbs: Forecasting Mobile Connectivity. In MobiCom (2008).
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C. Song et al. Limits of Predictability in Human Mobility. Science 327, 5968 (2010), 1018--1021.
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D. Kim et al. Discovering Semantically Meaningful Places from Pervasive RF-Beacons. In UbiComp (2009).
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D. Wagner et al. Device Analyzer: Understanding Smartphone Usage. In MOBIQUITOUS (2013).
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J. H. Kang et al. Extracting places from traces of locations. ACM SIGMOBILE Mobile Computing and Communications Review 9, 3 (July 2005), 58.
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J. Laurila et al. The Mobile Data Challenge: Big Data for Mobile Computing Research. In Pervasive (2012).
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J. McInerney et al. Exploring Periods of Low Predictability in Daily Life Mobility. In Pervasive (2012).
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J. Scott et al. PreHeat: Controlling Home Heating Using Occupancy Prediction. In UbiComp (2011).
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L. Song et al. Predictability of WLAN Mobility and its Effects on Bandwidth Provisioning. In INFOCOM (2006).
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M. C. González et al. Understanding Individual Human Mobility Patterns. Nature 453, 7196 (June 2008), 779--782.
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M. Lin et al. Predictability of Individuals' Mobility with High-resolution Positioning Data. In UbiComp (2012).
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P. Baumann and S. Santini. On the Use of Instantaneous Entropy to Measure the Momentary Predictability of Human Mobility. In SPAWC (2013).
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P. Baumann et al. Poster Abstract: How Long Are You Staying? Predicting Residence Time from Human Mobility Traces. In MobiCom (2013).
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P. Baumann et al. The Influence of Temporal and Spatial Features on the Performance of Next-place Prediction Algorithms. In UbiComp (2013).
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P. Baumann et al. Poster Abstract: Locator: A Self-adaptive Framework for the Recognition of Relevant Places. In UbiComp (2014).
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Cited By

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  • (2018)Predicting Episodes of Non-Conformant Mobility in Indoor EnvironmentsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32870502:4(1-24)Online publication date: 27-Dec-2018
  • (2015)Sequential behavior prediction based on hybrid similarity and cross-user activity transferKnowledge-Based Systems10.1016/j.knosys.2014.12.02677:C(29-39)Online publication date: 1-Mar-2015

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  1. Adaptive sensor cooperation for predicting human mobility

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    cover image ACM Conferences
    UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication
    September 2014
    1409 pages
    ISBN:9781450330473
    DOI:10.1145/2638728
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 13 September 2014

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    Author Tags

    1. human mobility
    2. localization
    3. prediction

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    UbiComp '14
    UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing
    September 13 - 17, 2014
    Washington, Seattle

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    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    View all
    • (2018)Predicting Episodes of Non-Conformant Mobility in Indoor EnvironmentsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32870502:4(1-24)Online publication date: 27-Dec-2018
    • (2015)Sequential behavior prediction based on hybrid similarity and cross-user activity transferKnowledge-Based Systems10.1016/j.knosys.2014.12.02677:C(29-39)Online publication date: 1-Mar-2015

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