Baseline Modelling and Composite Representation of Unobtrusively (IoT) Sensed Behaviour Changes Related to Urban Physical Well-Being

Vladimir Urošević, Marina Andrić, José A. Pagán

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present the grounding approach, deployment and preliminary validation of the elementary devised model of physical well-being in urban environments, summarizing the heterogeneous personal Big Data (on physical activity/exercise, walking, cardio-respiratory fitness, quality of sleep and related lifestyle and health habits and status, continuously collected for over a year mainly through wearable IoT devices and survey instruments in 7 global testbed cities) into 5 composite domain indicators/indexes convenient for interpretation and use in predictive public health and preventive interventions. The approach is based on systematized comprehensive domain knowledge implemented through range/threshold-based rules from institutional and study recommendations, combined with statistical methods, and will serve as a representative and performance benchmark for evolution and evaluation of more complex and advanced well-being models for the aimed predictive analytics (incorporating machine learning methods) in subsequent development underway.

Original languageEnglish (US)
Title of host publicationThe Impact of Digital Technologies on Public Health in Developed and Developing Countries - 18th International Conference, ICOST 2020, Proceedings
EditorsMohamed Jmaiel, Hamdi Aloulou, Mounir Mokhtari, Bessam Abdulrazak, Slim Kallel
PublisherSpringer
Pages155-167
Number of pages13
ISBN (Print)9783030515164
DOIs
StatePublished - 2020
Event18th International Conference on Smart Homes and Health Telematics, ICOST 2020 - Hammamet, Tunisia
Duration: Jun 24 2020Jun 26 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12157 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Smart Homes and Health Telematics, ICOST 2020
CountryTunisia
CityHammamet
Period6/24/206/26/20

Keywords

  • Behaviour recognition
  • Composite index modelling
  • Data labelling
  • Unobtrusive sensing
  • Vital health parameters
  • Wearable devices
  • Well-being

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Urošević, V., Andrić, M., & Pagán, J. A. (2020). Baseline Modelling and Composite Representation of Unobtrusively (IoT) Sensed Behaviour Changes Related to Urban Physical Well-Being. In M. Jmaiel, H. Aloulou, M. Mokhtari, B. Abdulrazak, & S. Kallel (Eds.), The Impact of Digital Technologies on Public Health in Developed and Developing Countries - 18th International Conference, ICOST 2020, Proceedings (pp. 155-167). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12157 LNCS). Springer. https://doi.org/10.1007/978-3-030-51517-1_13