This deep-learning method could predict your daily activities from your lifelogging camera images
October 12, 2015
Georgia Institute of Technology researchers have developed a deep-learning method that uses a wearable smartphone camera to track a person’s activities during a day. It could lead to more powerful Siri-like personal assistant apps and tools for improving health.
In the research, the camera took more than 40,000 pictures (one every 30 to 60 seconds) over a six-month period. The researchers taught a computer to categorize these pictures across… read more