Home // AMBIENT 2015, The Fifth International Conference on Ambient Computing, Applications, Services and Technologies // View article

A Smartwatch-Based System for Audio-Based Monitoring of Dietary Habits

Authors:
Haik Kalantarian
Majid Sarrafzadeh

Keywords: smartwatch, nutrition, spectrogram

Abstract:
In recent years, smartwatches have emerged as a viable platform for a variety of medical and health-related applications. In addition to the benefits of a stable hardware platform, these devices have a significant advantage over other wrist-worn devices, in that user acceptance of watches are much higher than other custom hardware solutions. In this paper, we describe the development of an Android application on a Samsung smartwatch device for evaluating eating habits using a microphone and various signal processing techniques. Though other works on acoustic monitoring of food habits have been conducted, the varied arm movement during eating creates a unique set of challenges that our work attempts to address. Evaluation results confirm the efficacy of our technique; classification was performed between apple and potato chip bites, water swallows, and talking, with an F-Measure of 94.5% based on 200 collected samples.

Pages: 30 to 35

Copyright: Copyright (c) IARIA, 2015

Publication date: July 19, 2015

Published in: conference

ISSN: 2326-9324

ISBN: 978-1-61208-421-3

Location: Nice, France

Dates: from July 19, 2015 to July 24, 2015