Caring for the elderly is a growing challenge for Australian society. This project addresses concerns regarding the wellbeing of seniors living at home by modeling their daily routines to detect significant changes due to functional decline or the onset of illness. These models will be integrated into a personalized in-home monitoring system that also detects instantaneous adverse events, such as falls. This system will include a novel inexpensive sensor bundle comprising unintrusive sensors, and decision procedures that determine whether and how to communicate with seniors and carers to deliver information and alerts. The effectiveness and acceptance of these technologies will be evaluated on a diverse population of seniors and carers.
Zukerman, I. & Partovi, A., 2019, Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue - Proceedings of the Conference. Nakamura, S., Gasic, M., Zukerman, I., Skantze, G., Nakano, M., Papangelis, A., Ultes, S. & Yoshino, K. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 307-31913 p. W19-5936
Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review