Abstract
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.
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 6th International Conference on Intelligent Environments |
| Number of pages | 6 |
| Publisher | IEEE Computer Society Press |
| Publication date | 19 Jul 2010 |
| Pages | 152-157 |
| ISBN (Print) | 978-0-7695-4149-5 |
| ISBN (Electronic) | 978-0-7695-4149-5 |
| DOIs | |
| Publication status | Published - 19 Jul 2010 |