Focus areas of context-aware research

1. Activity recognition [1][4][5][8][13]
2. Specific activity [2]
3. System [3][9][11]
4. Energy management [6][15]
5. Augmentation [7]
6. Data intepretation/Processing [10][19]
7. Reasoning [1][12][16][17][18]
8. Modeling [14]

[1] F. Zhou, J. Jiao, S. Chen, and D. Zhang, ‘A Case-Driven Ambient Intelligence System for Elderly in-Home Assistance Applications’, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol. 41, no. 2, pp. 179–189, Mar. 2011.
[2] B. Kaluža, B. Cvetković, E. Dovgan, H. Gjoreski, M. Gams, M. Luštrek, and V. Mirchevska, ‘A Multi-Agent Care System to Support Independent Living’, Int. J. Artif. Intell. Tools, vol. 23, no. 01, p. 1440001, Jan. 2014.
[3] S. Nava-Muñoz and A. L. Morán, ‘CANoE: A Context-Aware Notification Model to Support the Care of Older Adults in a Nursing Home’, Sensors, vol. 12, no. 12, pp. 11477–11504, Aug. 2012.
[4] K. Wongpatikaseree, M. Ikeda, M. Buranarach, T. Supnithi, A. O. Lim, and Y. Tan, ‘Activity Recognition Using Context-Aware Infrastructure Ontology in Smart Home Domain’, in 2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems (KICSS), 2012, pp. 50–57.
[5] I.-H. Bae, ‘An ontology-based approach to ADL recognition in smart homes’, Future Generation Computer Systems, vol. 33, pp. 32–41, Apr. 2014.
[6] Y. Nam, S. Rho, and B. Lee, ‘Intelligent context-aware energy management using the incremental simultaneous method in future wireless sensor networks and computing systems’, J Wireless Com Network, vol. 2013, no. 1, pp. 1–11, Dec. 2013.
[7] M. A. Rahman, A. El-Saddik, and W. Gueaieb, ‘Augmenting Context Awareness by Combining Body Sensor Networks and Social Networks’, IEEE Transactions on Instrumentation and Measurement, vol. 60, no. 2, pp. 345–353, Feb. 2011.
[8] G. Okeyo, L. Chen, and H. Wang, ‘Combining ontological and temporal formalisms for composite activity modelling and recognition in smart homes’, Future Generation Computer Systems.
[9] P. C. Garrido, I. L. Ruiz, and M. Á. Gómez-Nieto, ‘OBCAS: an agent-based system and ontology for mobile context aware interactions’, J Intell Inf Syst, pp. 1–25.
[10] Y. Sakurai, K. Takada, M. Anisetti, V. Bellandi, P. Ceravolo, E. Damiani, and S. Tsuruta, ‘Toward Sensor-Based Context Aware Systems’, Sensors (Basel), vol. 12, no. 1, pp. 632–649, Jan. 2012.
[11] M. A. Hossain and D. T. Ahmed, ‘Virtual Caregiver: An Ambient-Aware Elderly Monitoring System’, IEEE Transactions on Information Technology in Biomedicine, vol. 16, no. 6, pp. 1024–1031, Nov. 2012.
[12] D. Riboni and C. Bettini, ‘COSAR: hybrid reasoning for context-aware activity recognition’, Pers Ubiquit Comput, vol. 15, no. 3, pp. 271–289, Mar. 2011.
[13] L. Chen, C. D. Nugent, and H. Wang, ‘A Knowledge-Driven Approach to Activity Recognition in Smart Homes’, IEEE Transactions on Knowledge and Data Engineering, vol. 24, no. 6, pp. 961–974, Jun. 2012.
[14] L. Chen, C. Nugent, and G. Okeyo, ‘An Ontology-Based Hybrid Approach to Activity Modeling for Smart Homes’, IEEE Transactions on Human-Machine Systems, vol. 44, no. 1, pp. 92–105, Feb. 2014.
[15] A. Wood, J. A. Stankovic, G. Virone, L. Selavo, Z. He, Q. Cao, T. Doan, Y. Wu, L. Fang, and R. Stoleru, ‘Context-aware wireless sensor networks for assisted living and residential monitoring’, IEEE Network, vol. 22, no. 4, pp. 26–33, Jul. 2008.
[16] C. Li, L. Suna, and X. Hua, ‘A context-aware lighting control system for smart meeting rooms’, Systems Engineering Procedia, vol. 4, pp. 314–323, 2012.
[17] W. Niu, G. Li, H. Tang, X. Zhou, and Z. Shi, ‘CARSA: A context-aware reasoning-based service agent model for AI planning of web service composition’, Journal of Network and Computer Applications, vol. 34, no. 5, pp. 1757–1770, Sep. 2011.
[18] J. H. Lee, H. Lee, M. J. Kim, X. Wang, and P. E. D. Love, ‘Context-aware inference in ubiquitous residential environments’, Computers in Industry, vol. 65, no. 1, pp. 148–157, Jan. 2014.
[19] X. Hong and C. D. Nugent, ‘Segmenting sensor data for activity monitoring in smart environments’, Pers Ubiquit Comput, vol. 17, no. 3, pp. 545–559, Mar. 2013.

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