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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 ...
Recognizing Water-Based Activities in the Home Through Infrastructure-Mediated Sensing
(Georgia Institute of Technology, 2012-09)
Activity recognition in the home has been long recognized as the foundation for many desirable applications in fields such as home automation, sustainability, and healthcare. However, building a practical home activity ...
Leveraging contextual cues for dynamic scene understanding
(Georgia Institute of Technology, 2016-01-08)
Environments with people are complex, with many activities and events that need to be represented and explained. The goal of scene understanding is to either determine what objects and people are doing in such complex and ...