Empirical Mode Decomposition of Throat Microphone Recordings for Intake Classification
Published: Oct 23, 2017
Abstract
Wearable sensor systems can deliver promising solutions to automatic monitoring of ingestive behavior. This study presents an on-body sensor system and related signal processing techniques to classify different types of food intake sounds. A piezoelectric throat microphone is used to capture food consumption sounds from the neck. The recorded signals are firstly segmented and decomposed using the empirical mode decomposition (EMD) analysis. EMD...
Paper Details
Title
Empirical Mode Decomposition of Throat Microphone Recordings for Intake Classification
Published Date
Oct 23, 2017
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