Now showing items 1-2 of 2
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 ...
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 ...