458291 external_news 1444725200 1475893664 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.

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