Paper in ACM IUI15: “Inferring Meal Eating Activities in Real-World Settings from Ambient Sounds: A Feasibility Study”
Citation Abstract Dietary self-monitoring has been shown to be an effective method for weight-loss, but it remains an onerous task despite recent advances in food journaling systems. Semi-automated food journaling can reduce the effort of logging, but often requires that eating activities be detected automatically. In this work we describe results from a feasibility study […]