2023/11/13 by Shadeeb Hossain, Hossain, Shadeeb, Ahmed Abdelgawad +1 · 1 citation
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Computers and Society (cs.CY) #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Fire Detection and Safety Systems #Human-Computer Interaction (cs.HC)
paper · pdf · doi:10.48550/arxiv.2311.07712
openalex publication_date 2023/11/13 · openalex created_date 2023/11/16 · openalex updated_date 2026/07/28
Wastage of water is a critical issue amongst the various global crises. This paper proposes an architecture model for a low-cost, energy efficient SMART Shower system that is ideal for efficient water management and be able to predict reliably any accidental fall in the shower space. The sensors in this prototype can document the surrounding temperature and humidity in real time and thereby circulate the ideal temperature of water for its patron, rather than its reliance on predictive values . Three different scenarios are discussed that can allow reliably predicting any accidental fall in the shower vicinity. Motion sensors, sound sensors and gesture sensors can be used to compliment prediction of possible injuries in the shower. The integration with the Internet of Things (IoT) platform will allow caretakers to monitor the activities in the shower space especially in the case of elderly individuals as there have been reported cases of casualties in the slippery shower space. The proposed proof-of-concept prototype is cost effective and can be incorporated into an existing system for the added precedence of safety and convenience. The intelligent system is conserving water by optimizing its flow temperature and the IoT platform allows real time monitoring for safety.