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Field Deployable Real-Time Indoor Spatial Tracking System for Human Behavior Observations

Published: 04 November 2018 Publication History

Abstract

There remains an increasing interest in accurate indoor tracking; one such example is the study of human behaviors, especially to understand cognitive decline in older people. However, a solution that is capable of accurate tracking, easy to field deploy and freely available to the research community remains. Further, research studies often focus on localization or high accuracy as opposed to developing a field deployable solution. We demonstrate bTracked, a field deployable tracking system for mobile BLE device bearers using BLE beacon signals. In particular, we exploit, not only range estimations but also pose of the BLE device bearer for tracking. Together with a particle filter and the concept of generic sensor models for generalized indoor environments, we present an online and real-time tracking application of persons. We present a web-based Application for deployment and visualization of spatial tracking information across multiple remote deployment sites.

References

[1]
V. Chandel, D. Jaiswal, and A. Ghose. 2017. InLocW: A reliable indoor tracking and guiding system for smartwatches with path re-routing. In IEEE International Conference on Pervasive Computing and Communications Workshops. 697--702.
[2]
M. Chesser, L. Chea, and D. C. Ranasinghe. 2018. bTracked: Highly Accurate Field Deployable Real-Time Indoor Spatial Tracking for Human Behavior Observations. In Proceedings of the International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services.
[3]
C. Martella, A. Miraglia, M. Cattani, and M. van Steen. 2016. Leveraging proximity sensing to mine the behavior of museum visitors. In IEEE International Conference on Pervasive Computing and Communications. 1--9.
[4]
R. Sankarkumar and D. C. Ranasinghe. 2014. Watchdog: a novel, accurate and reliable method for addressing wandering-off using passive RFID tags. In Proceedings of the International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. 208--217.
[5]
Demo video. 2018. https://github.com/AdelaideAuto-IDLab/bTracked/. (2018).
[6]
M. Zhou and D. C. Ranasinghe. 2013. A novel approach for addressing wandering off elderly using low cost passive RFID tags. In International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services. 330--343.
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Y. Zhuang, J. Yang, Y. Li, L. Qi, and N. El-Sheimy. 2016. Smartphone-Based Indoor Localization with Bluetooth Low Energy Beacons. Sensors 16, 5 (2016), 596.

Cited By

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  • (2022)A Multi-Resident Number Estimation Method for Smart HomesSensors10.3390/s2213482322:13(4823)Online publication date: 25-Jun-2022
  • (2021)Condor: Mobile Golf Swing Tracking via Sensor Fusion using Conditional Generative Adversarial NetworksProceedings of the 2021 International Conference on Embedded Wireless Systems and Networks10.5555/3451271.3451275(31-42)Online publication date: 20-Feb-2021
  • (2021)State Estimation Method Using Radio Wave Intensity of BLE Beacon Installed Inside ObjectAdjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking10.1145/3427477.3428189(92-97)Online publication date: 5-Jan-2021

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  1. Field Deployable Real-Time Indoor Spatial Tracking System for Human Behavior Observations

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    cover image ACM Conferences
    SenSys '18: Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems
    November 2018
    449 pages
    ISBN:9781450359528
    DOI:10.1145/3274783
    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 ACM 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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    Published: 04 November 2018

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    1. Indoor localization

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    View all
    • (2022)A Multi-Resident Number Estimation Method for Smart HomesSensors10.3390/s2213482322:13(4823)Online publication date: 25-Jun-2022
    • (2021)Condor: Mobile Golf Swing Tracking via Sensor Fusion using Conditional Generative Adversarial NetworksProceedings of the 2021 International Conference on Embedded Wireless Systems and Networks10.5555/3451271.3451275(31-42)Online publication date: 20-Feb-2021
    • (2021)State Estimation Method Using Radio Wave Intensity of BLE Beacon Installed Inside ObjectAdjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking10.1145/3427477.3428189(92-97)Online publication date: 5-Jan-2021

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