Mobile life-logging using coresets at the Distributed Robotics Lab

We at the Distributed Robotics Lab explore new ways of answering life-logging questions from mobile cameras, as part of the iDiary project.
Our project uses the coresets framework, along with computer vision and machine learning tools, to do online data mining from android and Google glass devices.
As part of the UROP you will work on building a UI for annotating user activities, and doing activity analysis from the video of the user, and use machine learning and metric learning techniques in order to get better understanding of the user activities.

Lab webpage: http://groups.csail.mit.edu/drl/wiki/index.php?title=Main_Page
Relevant skill-set: Java, Android SDK, Matlab. Basic understanding of computer vision and / or machine learning is a plus.
Contact: The project will be supervised by Guy Rosman rosman@csail.mit.edu