Automatic Detecting of Meal Patterns using Conductive Chopsticks

Amemiya Hirotoshi, Yamagishi Yuki, Kawai Jun, Kaneda Shigeo

doi:10.1541/ieejeiss.134.571

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Other Title

導電性箸を用いた摂食行動の自動検出手法
ドウデンセイバシオモチイタセッショクコウドウノジドウケンシュツシュホウ

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Abstract

Dietary education continues to attract attention. One target of such attention is the meals consumed alone by senior citizens whose eating habits are often unhealthy, inadequate, and irregular. To solve this problem, the life-log data of eating habits are effective. However, conventional sensing approaches with video cameras suffer from privacy concerns and low accuracy that reflects poor lighting conditions. This paper proposes to solve this problem with a new method that records an ingestion log without burdening users. Our proposed method, which focuses on the closed circuit conductivity that is constructed from food, chopsticks, and a human body, determines the resistance value of the closed circuit and detects two actions: grasping food and carrying it to the mouth. We implemented our prototype chopsticks and experimentally verified our proposed methods. The accuracy of carrying food to the mouth exceeded 99% evaluation also clarified that our proposed method identifies participants who fail to join meal communities of young men/women around a table.

Journal

IEEJ Transactions on Electronics, Information and Systems

IEEJ Transactions on Electronics, Information and Systems 134 (4), 571-580, 2014

The Institute of Electrical Engineers of Japan

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