Computer Science Helping the Aged Stay Home
From: University of Adelaide - 11/14/2012

Computer scientists at the University of Adelaide are adapting
radio-frequency identification and sensor technologies to automatically
identify and monitor human activity in order to detect when a person's normal
routine has changed and might need timely assistance. The team will develop
an algorithm for interpreting collected data and recognizing what someone is
doing, and build context-aware, automatic-reasoning technology to make sense
of changes in activity patterns and help produce alerts for timely
intervention. "Our work will be among the first few projects in the world
conducting large-scale common-sense reasoning in automatic human activity
recognition," says Adelaide lecturer Michael Sheng. The researchers say the
system, which could enable elderly people to live independently and safely in
their homes, will be inexpensive and unobtrusive. They note the technology
would not have the privacy issues and intensive monitoring of video
surveillance-based system, while users would not have to wear anything or
turn anything on or off. 

Read the entire article at:
http://www.adelaide.edu.au/news/news57721.html

Links:
Michael Sheng
http://cs.adelaide.edu.au/~qsheng/

Discovery Project
http://www.arc.gov.au/ncgp/dp/dp_default.htm