Behaviometrics for Identifying Smart Home Residents
Aaron S. Crandall, Diane J. Cook · Atlantis ambient and pervasive intelligence · 2013
Smart homes and ambient intelligence show great promise in the fields of medical monitoring, energy efficiency and ubiquitous computing applications. Their ability to adapt and react to the people relying on them positions these systems to be invaluable tools for our aging populations. The most privacy protecting and easy to use smart home technologies often lack any kind of unique tracking technologies for individuals. Without a built-in mechanism to identify which resident is currently triggering events, new tools need to be developed to help determine the identity of the resident(s) in situ. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.