iBaby
| Autor: | Lien-Wu Chen, Chia-Chun Weng, Tsung-Ping Chen |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science 010401 analytical chemistry 020206 networking & telecommunications 02 engineering and technology 01 natural sciences 0104 chemical sciences iBeacon Mode (computer interface) Human–computer interaction 0202 electrical engineering electronic engineering information engineering Global Positioning System Internet of Things business Wearable technology |
| Zdroj: | SIGCOMM Posters and Demos |
| DOI: | 10.1145/3342280.3342309 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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