Crowdsourced Children Monitoring and Finding With Holding Up Detection Based on Internet-of-Things Technologies

Abstract

In this paper, we propose a crowdsourced children monitoring and finding (CCMF) framework to detect holding-up behaviors and find missing children using wearable devices and surrounding smartphones based on Internet of Things (IoT) technologies. In the monitoring mode, the CCMF framework can prevent young children from taking away by strangers/people with bad intentions. In the finding mode, the CCMF framework can cooperatively find missing children equipped with wearable devices consisting of mobile iBeacon and 3-axis accelerometer modules through crowdsourced sensing networks formed by smartphone users with outdoor GPS and indoor IoT localization. According to our review of relevant research, CCMF is the first children monitoring and finding solution that can detect holding-up postures of a target child and provide the guiding path to a lost child through crowdsourced sensing networks. An iOS-based prototype with Arduino wearable devices and mobile/static iBeacon nodes is implemented to verify the feasibility and superiority of our framework. Experimental results show that CCMF outperforms existing methods and can significantly increase recognition success rates and efficiently reduce false alarm rates of holding up detection.