The Tech of the Future Will Know When You'll Want That Slice of Pizza

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External News Details
Media
  • UBICOMP 2015 UBICOMP 2015
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Georgia Institute of Technology researchers have developed a new process to teach computers to understand and predict our daily routines, which for now, involves a wearable camera that snaps a photo every 30 to 60 seconds. At the end of the day, the camera-wearer goes through the photos and labels each image based on the activity that was happening — eating, reading, whatever the subject didn’t delete later for privacy reasons. The images are then put into a generic prediction model, essentially training a computer to understand and categorize the activities.

Additional Information

Groups

College of Computing, School of Interactive Computing

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Keywords
daniel castro, edison thomaz, Predicting Daily Activities From Egocentric Images Using Deep Learning
Status
  • Created By: Tyler Sharp
  • Workflow Status: Published
  • Created On: Oct 13, 2015 - 4:33am
  • Last Updated: Oct 7, 2016 - 10:27pm