A Health Monitoring and Water Consumption Tracking System based on Smart Cup using Artificial Intelligence and Internet of Things
Year: 2024
Type: conference-paper
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.
Authors: Haowen Yu, Soroush Mirzaee
Institutions: Skyline High School, California State Polytechnic University
Language: English
Topic: Arduino and IoT Applications
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4405123519