Food intake classification using throat microphone

Abstract

Swallowing action is one of the two fundamental elements of food intake mechanism. Classification of different swallowing patterns establishes an important part of the nutrient activity analysis. This paper is a preliminary research that investigates ingestion monitoring. We observe that throat microphone recordings can reveal certain characteristics of different swallowing types during food intake process. To evaluate the performance of proposed classifiers we recorded swallowing sounds regarding six different classes and extracted features over time-frequency analysis which results in between 60% and 80% accuracy. Experimental results are encouraging for automatic detection of swallowing events in future studies.