Artificial intelligence senses people through walls


Publication/Creation Date
June 12 2018
Creators/Contributors
Computer Science And Artificial Intelligence Lab (CSAIL) (contributor)
Dina Katabi (contributor)
Mingmin Zhao (contributor)
Antonio Torralba (contributor)
Mohammad Abu Alsheikh (contributor)
Tianhong Li (contributor)
Yonglong Tian (contributor)
Hang Zhao (contributor)
Adam Conner-Simons (creator)
Rachel Gordon (creator)
Media Type
Press Release
Persuasive Intent
Academic
Description
Wireless smart-home system from the Computer Science and Artificial Intelligence Laboratory could monitor diseases and help the elderly “age in place.”

X-ray vision has long seemed like a far-fetched sci-fi fantasy, but over the last decade a team led by Professor Dina Katabi from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has continually gotten us closer to seeing through walls.

Their latest project, "RF-Pose,” uses artificial intelligence (AI) to teach wireless devices to sense people’s postures and movement, even from the other side of a wall.
HCI Platform
Other
Location on Body
Not On The Body
Marketing Keywords
RF-Pose
Source
https://news.mit.edu/2018/artificial-intelligence-senses-people-through-walls-0612

Date archived
September 20 2018
Last edited
January 28 2019
How to cite this entry
Adam Conner-Simons, Rachel Gordon. (June 12 2018). "Artificial intelligence senses people through walls". Massachusetts Institute of Technology (MIT). Massachusetts Institute Of Technology (MIT). Fabric of Digital Life. https://fabricofdigitallife.com/index.php/Detail/objects/3205