Abstract
In this paper, we present an engineering system for monitoring and forecasting wellness of an elderly person in relation to performance of daily activities. Complex behavioural changes of daily activities are captured in real time for reliable measurement of wellness operations. These tasks are realized with the sensor status of the household objects in use by the elderly in combination with prediction process of time series data processing algorithm. This will assist in determining the quantitative well-being of an elderly and alert if the daily activity behaviour is irregular.
Original language | English |
---|---|
Title of host publication | 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Proceedings |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 16-21 |
Number of pages | 6 |
ISBN (Print) | 9781467346221 |
DOIs | |
Publication status | Published - 2013 |
Externally published | Yes |
Event | 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Minneapolis, MN, United States Duration: 6 May 2013 → 9 May 2013 |
Other
Other | 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 |
---|---|
Country/Territory | United States |
City | Minneapolis, MN |
Period | 6/05/13 → 9/05/13 |