Situative Space Tracking within Smart Environments

This paper describes our efforts in modeling and
tracking a human agent’s situation based on his/her possibilities
to perceive and act upon objects (both physical and virtual)
within smart environments. A Situative Space Model is proposed.
WLAN signal-strength-based situative space tracking system that
positions objects within individual situative spaces (without
tracking their absolute positions) distributed across multiple
modalities like vision, audio, and touch is presented. As a proofof-
concept, a preliminary evaluation of the tracking system was
performed by two subjects within a living-laboratory smart home
environment where a global precision of 83.4% and a global
recall of 88.6% were obtained.