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

Vladimir Urošević; Marina Andrić; José A. Pagán

doi:10.1007/978-3-030-51517-1_13

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

Vladimir Urošević, Marina Andrić, José A. Pagán

Global Public Health

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	The Impact of Digital Technologies on Public Health in Developed and Developing Countries - 18th International Conference, ICOST 2020, Proceedings
Editors	Mohamed Jmaiel, Hamdi Aloulou, Mounir Mokhtari, Bessam Abdulrazak, Slim Kallel
Publisher	Springer
Pages	155-167
Number of pages	13
ISBN (Print)	9783030515164
DOIs	https://doi.org/10.1007/978-3-030-51517-1_13
State	Published - 2020
Event	18th International Conference on Smart Homes and Health Telematics, ICOST 2020 - Hammamet, Tunisia Duration: Jun 24 2020 → Jun 26 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12157 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Conference on Smart Homes and Health Telematics, ICOST 2020
Country/Territory	Tunisia
City	Hammamet
Period	6/24/20 → 6/26/20

Keywords

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

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-51517-1_13

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

Baseline Modelling and Composite Representation of Unobtrusively (IoT) Sensed Behaviour Changes Related to Urban Physical Well-Being. / Urošević, Vladimir; Andrić, Marina; Pagán, José A.
The Impact of Digital Technologies on Public Health in Developed and Developing Countries - 18th International Conference, ICOST 2020, Proceedings. ed. / Mohamed Jmaiel; Hamdi Aloulou; Mounir Mokhtari; Bessam Abdulrazak; Slim Kallel. Springer, 2020. p. 155-167 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12157 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Urošević, V, Andrić, M & Pagán, JA 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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12157 LNCS, Springer, pp. 155-167, 18th International Conference on Smart Homes and Health Telematics, ICOST 2020, Hammamet, Tunisia, 6/24/20. https://doi.org/10.1007/978-3-030-51517-1_13

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

Urošević, Vladimir ; Andrić, Marina ; Pagán, José A. / Baseline Modelling and Composite Representation of Unobtrusively (IoT) Sensed Behaviour Changes Related to Urban Physical Well-Being. The Impact of Digital Technologies on Public Health in Developed and Developing Countries - 18th International Conference, ICOST 2020, Proceedings. editor / Mohamed Jmaiel ; Hamdi Aloulou ; Mounir Mokhtari ; Bessam Abdulrazak ; Slim Kallel. Springer, 2020. pp. 155-167 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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AB - 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.

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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