Increasing the opportunities for aging in place
CUU '00 Proceedings on the 2000 conference on Universal Usability
IEEE Pervasive Computing
Augmenting motion sensing to improve detection of periods of unusual inactivity
Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments
ACM Transactions on Embedded Computing Systems (TECS)
| Hi-index | 0.00 |
An algorithm has been developed to automatically construct individual models of normal activity within a home using motion sensor data. Alerts can be generated when a period of inactivity exceeds a normal length for a particular residence. Alerting frequency has been optimized on a total of 650 days of real data from four homes of seniors who live independently. Results suggest that an inexpensive system that does not require the occupant to push any buttons or wear any devices could nonetheless alert within hours if a senior is unusually inactive. Further, such algorithms may facilitate widespread deployment of smart home technology to persons with different behavior patterns and home layouts by using automatic learning in place of potentially tedious manual configuration.