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iBaby: A Mobile Children Monitoring and Finding System with Stranger Holding Detection Based on IoT Technologies

Published: 19 August 2019 Publication History

Abstract

This paper designs and implements a mobile children monitoring and finding system, called iBaby, using wearable devices and nearby smartphones to detect unexpected holding and find missing children through Internet of Things (IoT) technologies, respectively. In the monitoring mode, the iBaby system can prevent young children from taking away by strangers/people with bad intentions. In the finding mode, the iBaby system can cooperatively find missing children equipped with hand wearable devices consisting of the mobile iBeacon and 3-axis accelermeter through crowdsourced sensing networks formed by smartphone users with outdoor GPS and indoor IoT localization. To accurately detect stranger holding behaviors, multi-feature based, artificial neural network based, and convolutional neural network based posture recognition methods are designed to improve recognition success rates of iBaby as much as possible. In particular, an iOS-based prototype with Arduino wearable devices and static iBeacon nodes is implemented to verify the feasibility and correctness of our iBaby system.

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Cited By

View all
  • (2023)Hybrid-AI-Based iBeacon Indoor Positioning Cybersecurity: Attacks and DefensesSensors10.3390/s2304215923:4(2159)Online publication date: 14-Feb-2023
  • (2022)Towards Crowdsourcing Internet of Things (Crowd-IoT): Architectures, Security and ApplicationsFuture Internet10.3390/fi1402004914:2(49)Online publication date: 31-Jan-2022
  • (2022)Smart Child Safety Framework Using Internet of ThingsDecision Support Systems for Smart City Applications10.1002/9781119896951.ch9(153-166)Online publication date: Dec-2022
  • Show More Cited By

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  1. iBaby: A Mobile Children Monitoring and Finding System with Stranger Holding Detection Based on IoT Technologies

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    cover image ACM Conferences
    SIGCOMM Posters and Demos '19: Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos
    August 2019
    183 pages
    ISBN:9781450368865
    DOI:10.1145/3342280
    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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    New York, NY, United States

    Publication History

    Published: 19 August 2019

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    Author Tags

    1. Crowdsourced Sensing
    2. Internet of Things
    3. Smart Handheld Device
    4. Wearable Device
    5. iBeacon

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    • Short-paper
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    • Refereed limited

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    SIGCOMM '19
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    SIGCOMM '19: ACM SIGCOMM 2019 Conference
    August 19 - 23, 2019
    Beijing, China

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    SIGCOMM Posters and Demos '19 Paper Acceptance Rate 62 of 102 submissions, 61%;
    Overall Acceptance Rate 92 of 158 submissions, 58%

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    Cited By

    View all
    • (2023)Hybrid-AI-Based iBeacon Indoor Positioning Cybersecurity: Attacks and DefensesSensors10.3390/s2304215923:4(2159)Online publication date: 14-Feb-2023
    • (2022)Towards Crowdsourcing Internet of Things (Crowd-IoT): Architectures, Security and ApplicationsFuture Internet10.3390/fi1402004914:2(49)Online publication date: 31-Jan-2022
    • (2022)Smart Child Safety Framework Using Internet of ThingsDecision Support Systems for Smart City Applications10.1002/9781119896951.ch9(153-166)Online publication date: Dec-2022
    • (2019)Crowdsourced Children Monitoring and Finding With Holding Up Detection Based on Internet-of-Things TechnologiesIEEE Sensors Journal10.1109/JSEN.2019.293832419:24(12407-12417)Online publication date: 15-Dec-2019

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