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A Health Monitoring and Water Consumption Tracking System based on Smart Cup using Artificial Intelligence and Internet of Things

Authors

Haowen Yu1 and Soroush Mirzaee2, 1USA, 2California State Polytechnic University, USA

Abstract

Dehydration poses a significant global health risk, impacting a diverse population across various age groups [1]. Despite numerous efforts to promote hydration, traditional methods often rely on manual logging in mobile applications, a process prone to user neglect and inaccuracy. SmartFlask, an innovative hydration-monitoring device, seeks to address these limitations by offering a fully automated solution that seamlessly integrates into users' daily routines [2]. Equipped with a time-of-flight (ToF) sensor, SmartFlask tracks water consumption without requiring user input, while an AI algorithm recommends personalized daily water intake based on individual factors such as height and weight [3]. By eliminating the need for manual tracking and providing tailored hydration goals, SmartFlask offers a comprehensive approach to improving hydration habits. This paper details the development, functionality, and potential health benefits of SmartFlask, demonstrating its promise as an effective tool for addressing dehydration on a global scale.

Keywords

Dehydration, ToF, AI algorithm