Now showing items 1-3 of 3
Feasibility of Identifying Eating Moments from First-Person Images Leveraging Human Computation
(Georgia Institute of Technology, 2013-11)
There is widespread agreement in the medical research community that more effective mechanisms for dietary assessment and food journaling are needed to fight back against obesity and other nutrition-related diseases. ...
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 ...
Predicting Daily Activities From Egocentric Images Using Deep Learning
(Georgia Institute of Technology, 2015)
We present a method to analyze images taken from a passive egocentric wearable camera along with the contextual information, such as time and day of week, to learn and predict everyday activities of an individual. We ...