Network Inference and its Application to the Estimation of Crowd Dynamics from IoT Sensors

Nikhil Ravi, Raksha Ramakrishna, Hoi To Wai, Anna Scaglione

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

Abstract

In this paper, we explore the application of system identification techniques to the inference of a model that characterizes crowd dynamics, inspired by the social force model proposed by Helbing and Molnar. We focus then on sensor observations of pedestrians' actions considering that wearables, smart mobile phones and other IoT devices embedded in the environment give significant insights on their expected mobility patterns. Previous work using IoT sensors to uncover social interactions is not based on mathematical models, while most models used for tracking mobility ignore the strong coupling between the model-agents as well as their surroundings. Our aim is to bridge these approaches, by capturing in the data model the swarming behavior of the network, including social interactions.

Original languageEnglish (US)
Title of host publication2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2018-June
ISBN (Print)9781538635124
DOIs
StatePublished - Aug 24 2018
Event19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018 - Kalamata, Greece
Duration: Jun 25 2018Jun 28 2018

Other

Other19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
CountryGreece
CityKalamata
Period6/25/186/28/18

Fingerprint

Sensors
Bridge approaches
Mobile phones
Data structures
Identification (control systems)
Mathematical models
Internet of things

Keywords

  • crowd-dynamics
  • IoT
  • network inference
  • non-linear graph filter
  • Viterbi training

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

Cite this

Ravi, N., Ramakrishna, R., Wai, H. T., & Scaglione, A. (2018). Network Inference and its Application to the Estimation of Crowd Dynamics from IoT Sensors. In 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018 (Vol. 2018-June). [8446031] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPAWC.2018.8446031

Network Inference and its Application to the Estimation of Crowd Dynamics from IoT Sensors. / Ravi, Nikhil; Ramakrishna, Raksha; Wai, Hoi To; Scaglione, Anna.

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018. Vol. 2018-June Institute of Electrical and Electronics Engineers Inc., 2018. 8446031.

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

Ravi, N, Ramakrishna, R, Wai, HT & Scaglione, A 2018, Network Inference and its Application to the Estimation of Crowd Dynamics from IoT Sensors. in 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018. vol. 2018-June, 8446031, Institute of Electrical and Electronics Engineers Inc., 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018, Kalamata, Greece, 6/25/18. https://doi.org/10.1109/SPAWC.2018.8446031
Ravi N, Ramakrishna R, Wai HT, Scaglione A. Network Inference and its Application to the Estimation of Crowd Dynamics from IoT Sensors. In 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018. Vol. 2018-June. Institute of Electrical and Electronics Engineers Inc. 2018. 8446031 https://doi.org/10.1109/SPAWC.2018.8446031
Ravi, Nikhil ; Ramakrishna, Raksha ; Wai, Hoi To ; Scaglione, Anna. / Network Inference and its Application to the Estimation of Crowd Dynamics from IoT Sensors. 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018. Vol. 2018-June Institute of Electrical and Electronics Engineers Inc., 2018.
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