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A Practical Approach for Recognizing Eating Moments With Wrist-Mounted Inertial Sensing
(Georgia Institute of Technology, 2015)
Recognizing when eating activities take place is one of the key challenges in automated food intake monitoring. Despite progress over the years, most proposed approaches have been largely impractical for everyday usage, ...
Inferring Meal Eating Activities in Real World Settings from Ambient Sounds: A Feasibility Study
(Georgia Institute of Technology, 2015)
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 ...