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Sensors 2013, 13(2), 2682-2699; doi:10.3390/s130202682
Article

A Unified Framework for Activity Recognition-Based Behavior Analysis and Action Prediction in Smart Homes

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Received: 16 December 2012; in revised form: 12 February 2013 / Accepted: 15 February 2013 / Published: 22 February 2013
(This article belongs to the Section Physical Sensors)
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Abstract: In recent years, activity recognition in smart homes is an active research area due to its applicability in many applications, such as assistive living and healthcare. Besides activity recognition, the information collected from smart homes has great potential for other application domains like lifestyle analysis, security and surveillance, and interaction monitoring. Therefore, discovery of users common behaviors and prediction of future actions from past behaviors become an important step towards allowing an environment to provide personalized service. In this paper, we develop a unified framework for activity recognition-based behavior analysis and action prediction. For this purpose, first we propose kernel fusion method for accurate activity recognition and then identify the significant sequential behaviors of inhabitants from recognized activities of their daily routines. Moreover, behaviors patterns are further utilized to predict the future actions from past activities. To evaluate the proposed framework, we performed experiments on two real datasets. The results show a remarkable improvement of 13.82% in the accuracy on average of recognized activities along with the extraction of significant behavioral patterns and precise activity predictions with 6.76% increase in F-measure. All this collectively help in understanding the users” actions to gain knowledge about their habits and preferences.
Keywords: activity recognition; smart homes; behavior analysis; action prediction; lifestyle analysis; u-healthcare activity recognition; smart homes; behavior analysis; action prediction; lifestyle analysis; u-healthcare
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Fatima, I.; Fahim, M.; Lee, Y.-K.; Lee, S. A Unified Framework for Activity Recognition-Based Behavior Analysis and Action Prediction in Smart Homes. Sensors 2013, 13, 2682-2699.

AMA Style

Fatima I, Fahim M, Lee Y-K, Lee S. A Unified Framework for Activity Recognition-Based Behavior Analysis and Action Prediction in Smart Homes. Sensors. 2013; 13(2):2682-2699.

Chicago/Turabian Style

Fatima, Iram; Fahim, Muhammad; Lee, Young-Koo; Lee, Sungyoung. 2013. "A Unified Framework for Activity Recognition-Based Behavior Analysis and Action Prediction in Smart Homes." Sensors 13, no. 2: 2682-2699.


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