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Automated Assessment of Surgical Skills Using Frequency Analysis
(Georgia Institute of Technology, 2015)
We present an automated framework for visual assessment
of the expertise level of surgeons using the OSATS (Objective Structured Assessment of Technical Skills) criteria. Video analysis techniques
for extracting motion ...
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 ...
Video Based Assessment of OSATS Using Sequential Motion Textures
(Georgia Institute of Technology, 2014)
We present a fully automated framework for video based surgical skill assessment that incorporates the sequential and qualitative aspects of surgical motion in a data-driven manner. We replicate Objective Structured ...
Egocentric Field-of-View Localization Using First-Person Point-of-View Devices
(Georgia Institute of Technology, 2015-01)
We present a technique that uses images, videos and sensor data taken from first-person point-of-view devices to perform egocentric field-of-view (FOV) localization. We define egocentric FOV localization as capturing the ...
Leveraging Context to Support Automated Food Recognition in Restaurants
(Georgia Institute of Technology, 2015-01)
The pervasiveness of mobile cameras has resulted in a
dramatic increase in food photos, which are pictures re-
flecting what people eat. In this paper, we study how tak-
ing pictures of what we eat in restaurants ...