Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization 2018
DOI: 10.1145/3209219.3209265
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Idea

Abstract: Eating activity monitoring using wearable sensors can potentially enable interventions based on eating speed for critical healthcare problems such as obesity or diabetes. We propose a novel methodology, IDEA that performs accurate eating action identification and provides feedback on eating speed. IDEA uses a single wristband with IMU sensors and functions without any manual intervention from the user. The F1 score for eating action identification was 0.92.

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