A hybrid approach of knowledge-driven and data-driven reasoning for activity recognition in smart homes
Author:
Affiliation:
1. School of Mechatronics Engineering, University Malaysia Perlis, Arau, Perlis, Malaysia
2. School of Engineering, Cardiff University, Cardiff, CF24 3AA, United Kingdom
3. Graduate School of Integrated Research, University of Yamanashi, Kofu, Japan
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference38 articles.
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2. Liu Y. , Ouyang D. , Liu Y. , Chen R. , “A novel approach based on time cluster for activity recognition of daily living in smart homes,” J. Symmetry 9(212) (2017).
3. “A survey on ambient-assisted living tools for older adults,”;Rashidi;IEEE J. Biomed. Heal. Informatics,2013
4. "Simulation of Smart Home Activity Datasets,";Synnott;J. Sensors,2015
5. “On the design of smart homes: A framework for activity recognition in home environment,”;Cicirelli;J. Med. Syst,2016
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