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

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dc.contributor.author Suryadevara, N. K.
dc.contributor.author Mukhopadhyay, S. C.
dc.contributor.author Wang, R.
dc.contributor.author Rayudu, R. K.
dc.date.accessioned 2022-03-27T05:57:59Z
dc.date.available 2022-03-27T05:57:59Z
dc.date.issued 2013-11-01
dc.description.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. © 2013 Elsevier Ltd. All rights reserved.
dc.identifier.citation Engineering Applications of Artificial Intelligence. v.26(10)
dc.identifier.issn 09521976
dc.identifier.uri 10.1016/j.engappai.2013.08.004
dc.identifier.uri https://www.sciencedirect.com/science/article/abs/pii/S0952197613001553
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/8951
dc.subject Activities of daily living
dc.subject Activity recognition
dc.subject Elder care
dc.subject Smart home
dc.subject Time series analysis
dc.subject Wireless Sensor Network
dc.title Forecasting the behavior of an elderly using wireless sensors data in a smart home
dc.type Journal. Article
dspace.entity.type
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