Abstract
The emerging wearable IoT technology is evolving dramatically in recent years and resulted in a wide adoption in various applications. Electric shock hazard is one of the major indoor hazards for consumers who may fail to recognize potential electrical risks. This paper proposes a smart wearable IoT device with risk assessment algorithms for preventing indoor electrical shock hazards. This device consists of two hardware components: a receiver and a detector embedded in a power switch. The detector consists of a Wi-Fi module, a current sensor, a NFC module, and an Arduino mini module that communicates with a software routine monitoring the status of the power switch and its connected appliances. The receiver is a passive NFC tag that can be designed as an accessory or clothing that customers may wear. A risk assessment algorithm is proposed using a set of predefined inference rules. The software routine is developed to provide early warnings to customers where potential electrical shock risk level is high. This paper describes the implementation details as well as the algorithms. Experimental results are summarized and they demonstrate that the proposed smart wearable device can be effective in predicting electric shock hazards in an indoor environment.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
