How Your Device Knows Your Life Through Images

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External News Details
Media
  • UBICOMP 2015 UBICOMP 2015
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New Georgia Tech research in neural networks may let computers identify our daily actions more accurately than the apps on the market that track things like GPS location and heart rate. A new computer model has achieved about 83 percent accuracy in identifying the activities it sees in real-life images—and with just a bit of training it could do this for any user it encounters.

Additional Information

Groups

College of Computing, School of Interactive Computing

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Keywords
daniel castro, MIT Technology Review, Steven Erickson, Ubicomp
Status
  • Created By: Tyler Sharp
  • Workflow Status: Published
  • Created On: Oct 29, 2015 - 8:19am
  • Last Updated: Oct 7, 2016 - 10:27pm