An On-Device Learning System for Estimating Liquid Consumption from Consumer-Grade Water Bottles and Its Evaluation

A lightweight on-device liquid consumption estimation system involving an energy-aware machine learning algorithm is developed in this work. This system consists of two separate on-device neural network models that carry out liquid consumption estimation with the result of two tasks: the detection o...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Avirup Roy, Hrishikesh Dutta, Henry Griffith, Subir Biswas
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-03-01
Schriftenreihe:	Sensors
Schlagworte:	drink volume estimation sip detection embedded machine learning on-device classification neural networks TinyML
Online-Zugang:	https://www.mdpi.com/1424-8220/22/7/2514
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