IoT Technologies for HealthCare by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9783030420291
Publisher: Springer International Publishing

We develop a device-free dietary recognition system based on the WiFi signals to automatically track the user’s eating activity, which can be easily deployed on the user’s smartphone without incurring additional costs or changing the existing WiFi infrastructures.

We adopt the Fuzzy C-means clustering technique to differentiate the dietary activities from all human daily activities. We then utilize different machine learning classification approaches (i.e., Random Forest, Naive Bayes, K Nearest Neighbors, Discriminant Analysis Classifier) to identify the food intake gestures based on the utensils held by users. Moreover, we propose an intake gesture density derivation method to calculate the comprehensive dietary moments and develop the ingestion period estimation method to derive the dietary moment statistics.

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