Forecasting the behavior of an elderly using wireless sensors data in a smart home

N. K. Suryadevara, S. C. Mukhopadhyay*, R. Wang, R. K. Rayudu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

181 Citations (Scopus)


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 languageEnglish
Pages (from-to)2641-2652
Number of pages12
JournalEngineering Applications of Artificial Intelligence
Issue number10
Publication statusPublished - Nov 2013
Externally publishedYes


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