2021 · 15 citations · 7 references
ComputingBioengineeringHealth InformaticsMachine LearningMobile Health InformaticsSensorsAlerting SystemsElectrodermal ActivityMobile SensingSmart SensorsWearable BiosensorsWearable Health TechnologiesFeasibility Study DesignHuman SensingHydration MonitoringReal-time Health SensingWearable Electrodermal SensorsWearable Health MonitoringWearable Physiological SensingWearable Sensing
We propose Monitoring My Dehydration (MMD), a novel context-aware real-time Android-based tool that can instantly detect human dehydration level by utilizing wearable Electrodermal Activity (EDA) sensors in conjunction with signal processing and machine learning. Experimental evaluation on real-world collected data over 5 users provide improved dehydration estimation performance (84.5%) with satisfactory feasibility study and trustworthy explanation.
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Feasibility of a Wearable Reflectometric System for Sensing Skin Hydration
Raissa Schiavoni, Giuseppina Monti, Emanuele Piuzzi et al. · Sensors · 2020 · 44 citations · Full text
Non Invasive Skin Hydration Level Detection Using Machine Learning
Sidrah Liaqat, Kia Dashtipour, Kamran Arshad et al. · Electronics · 2020 · 44 citations · Full text