Abstract
In this paper, we have reported a mechanism to forecast the sensing durations of various object usages in a smart home environment. Prognosis will assist in determining the quantitative well-being of an elderly and notify the daily activity behavior as regular or irregular. Prediction process involved in wellness model is the seasonal auto regression integration moving average routines based on the recorded sensing active status of everyday objects used by an elderly living alone.
Original language | English |
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Title of host publication | 2012 6th International Conference on Sensing Technology, ICST 2012 |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 157-162 |
Number of pages | 6 |
ISBN (Electronic) | 9781467322485 |
ISBN (Print) | 9781467322461 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |
Event | 2012 6th International Conference on Sensing Technology, ICST 2012 - Kolkata, India Duration: 18 Dec 2012 → 21 Dec 2012 |
Other
Other | 2012 6th International Conference on Sensing Technology, ICST 2012 |
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Country/Territory | India |
City | Kolkata |
Period | 18/12/12 → 21/12/12 |