We take an approach for human posture and activity monitoring with very low cost low-intrusive capacitive proximity sensors. The sensor system relies on wireless sensor network technologies and is integrated to the monitoring software and end users via the internet. The motivation is in tracking the behavior and detecting abnormal living patterns of elderly people living at home.
|Publication status||Published - 2011|
|MoE publication type||Not Eligible|
|Event||Advances in distributed and Parallel Computing: Special Track on Real Time & Embedded Systems, RTES 2011 - , Singapore|
Duration: 12 Sep 2011 → …
|Conference||Advances in distributed and Parallel Computing: Special Track on Real Time & Embedded Systems, RTES 2011|
|Abbreviated title||RTES 2011|
|Period||12/09/11 → …|
- human monitoring
- wireless sensor network
- intelligent environment
Heikkilä, T., Järviluoma, M., Strömmer, E., Kivikunnas, S., Korkalainen, M., & Kyllönen, V. (2011). Towards intelligent environments: Human posture and activity monitoring in furniture with wireless low cost sensors. 31-36. Paper presented at Advances in distributed and Parallel Computing: Special Track on Real Time & Embedded Systems, RTES 2011, Singapore.