Analysis of Chewing Sounds for Dietary Monitoring
Analysis of Chewing Sounds for Dietary Monitoring
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DOI：
10.1007/11551201_4
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发表时间：
2005-09
期刊：
影响因子：
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通讯作者：
O. Amft;M. Stäger;P. Lukowicz;G. Tröster
中科院分区：
文献类型：
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作者：
O. Amft;M. Stäger;P. Lukowicz;G. Tröster
本文报告了我们在自动饮食监测系统的第一阶段工作的结果。这项工作是欧洲一个大型项目的一部分，该项目旨在使用无处不在的系统来支持健康的生活方式和心血管疾病预防。我们证明，从用户的嘴的声音可以用来检测他/她正在吃。本文还展示了如何通过分析咀嚼声来识别不同种类的食物。这些声音是用位于耳道内的麦克风采集的。这是在其他应用（助听器、耳机）中广泛接受的不显眼的位置。为了验证我们的方法，我们提供了实验结果，其中包含四名受试者对一顿饭中常见的四种不同食物类型的3500秒咀嚼数据。进食识别的准确率高达99%，食物类型分类的准确率在80%到100%之间。
The paper reports the results of the first stage of our work on an automatic dietary monitoring system. The work is part of a large European project on using ubiquitous systems to support healthy lifestyle and cardiovascular disease prevention. We demonstrate that sound from the user’s mouth can be used to detect that he/she is eating. The paper also shows how different kinds of food can be recognized by analyzing chewing sounds. The sounds are acquired with a microphone located inside the ear canal. This is an unobtrusive location widely accepted in other applications (hearing aids, headsets). To validate our method we present experimental results containing 3500 seconds of chewing data from four subjects on four different food types typically found in a meal. Up to 99% accuracy is achieved on eating recognition and between 80% to 100% on food type classification.