Abstract
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.
Original language | English |
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Pages | 31-36 |
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 Sept 2011 → … |
Conference
Conference | Advances in distributed and Parallel Computing: Special Track on Real Time & Embedded Systems, RTES 2011 |
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Abbreviated title | RTES 2011 |
Country/Territory | Singapore |
Period | 12/09/11 → … |
Keywords
- human monitoring
- wireless sensor network
- intelligent environment