A wearable system for detecting eating activities with proximity sensors in the outer ear

Abdelkareem Bedri, Apoorva Verlekar, Edison Thomaz, Valerie Avva, Thad Starner
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引用次数: 47

Abstract

This paper presents an approach for automatically detecting eating activities by measuring deformations in the ear canal walls due to mastication activity. These deformations are measured with three infrared proximity sensors encapsulated in an off-the-shelf earpiece. To evaluate our method, we conducted a user study in a lab setting where 20 participants were asked to perform eating and non-eating activities. A user dependent analysis demonstrated that eating could be detected with 95.3% accuracy. This result indicates that proximity sensing offers an alternative to acoustic and inertial sensing in eating detection while providing benefits in terms of privacy and robustness to noise.
一种可穿戴系统,用于通过外耳中的接近传感器检测进食活动
本文提出了一种通过测量咀嚼活动引起的耳道壁变形来自动检测进食活动的方法。这些变形是用封装在现成耳机中的三个红外接近传感器测量的。为了评估我们的方法,我们在实验室环境中进行了一项用户研究,要求20名参与者进行进食和非进食活动。一项用户依赖分析表明,检测饮食的准确率为95.3%。这一结果表明,近距离传感在进食检测中提供了声学和惯性传感的替代方案,同时在隐私和抗噪声稳健性方面具有优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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