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A Study Of Time-Based Features And Regularity Of Manipulation To Improve The Detection Of Eating Activity Periods During Free Living, Jose Reyes

All Theses

This thesis considers the problem of detecting when people eat by tracking their wrist motion. The goal of this work is to automatically detect the start and stop times of these eating activities. It builds upon previous work done by our research group, which developed an algorithm for automatically detecting peaks in activities associated with food preparation and clean-up. This peak detector is then used for segmenting data. These segments are then classified as eating or non-eating activities using a naive Bayes classifier based on probabilities obtained from computing different features in each segment. The original work introduced 4 features, …