Abstract
In this paper, the ability to determine the wellness of an elderly living alone in a smart home using a low-cost, robust, flexible and data driven intelligent system is presented. A framework integrating temporal and spatial contextual information for determining the wellness of an elderly has been modeled. A novel behavior detection process based on the observed sensor data in performing essential daily activities has been designed and developed. The developed prototype is used to forecast the behavior and wellness of the elderly by monitoring the daily usages of appliances in a smart home. Wellness models are tested at various elderly houses, and the experimental results are encouraging. The wellness models are updated based on the time series analysis.
| Original language | English |
|---|---|
| Pages (from-to) | 2641-2652 |
| Number of pages | 12 |
| Journal | Engineering Applications of Artificial Intelligence |
| Volume | 26 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - Nov 2013 |
| Externally published | Yes |
Keywords
- Activities of daily living
- Activity recognition
- Elder care
- Smart home
- Time series analysis
- Wireless Sensor Network
ASJC Scopus subject areas
- Control and Systems Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering