Unobtrusive anomaly detection in presence of elderly in a smart-home environment

Proceedings of 9th International Conference, ELEKTRO 2012

Volumn , Issue , 2012, Pages 341-344

  Novák, Marek ^a   Biňas, Miroslav ^a   Jakab, František ^a  

^a TECHNICAL UNIVERSITY OF KO ICE   (Slovakia)

Author keywords

anomaly detection; behavioural patterns; classification; Markov model; Self Organizing Maps; smart home

Indexed keywords

ANOMALY DETECTION; BEHAVIOURAL PATTERNS; DAILY ACTIVITY PATTERNS; DATA SETS; EXPERIMENTAL STUDIES; MARKOV MODEL; RESPONSIBLE PERSON; SMART HOMES; UNSUPERVISED CLASSIFICATION;

CLASSIFICATION (OF INFORMATION); MARKOV PROCESSES; SELF ORGANIZING MAPS;

BEHAVIORAL RESEARCH;

EID: 84864229388     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ELEKTRO.2012.6225617     Document Type: Conference Paper

References (13)

1. D. Šimšík, A. Galajdová, D. Siman, M. Novák, and P. Galajda, "Services for seniors - experience of testing in slovakia field trials," Assistive Technology Research Series: Everyday Technology for Independence and Care - AAATE 2011, vol. 29, pp. 1082-1089, 2011.
2. A. Galajdová, D. Šimšík, M. Andrášová, J. Bujňák, and S. Krajňák, "Socio-economical aspects of ict based services for seniors in slovakia," Assistive Technology Research Series: Everyday Technology for Independence and Care - AAATE 2011, vol. 29, pp. 286-293, 2011.
3. G. Youngblood and D. Cook, "Data mining for hierarchical model creation," Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 37, no. 4, pp. 561 -572, 2007.
4. N. Noury, J. Poujaud, A. Fleury, R. Nocua, T. Haddidi, and P. Rumeau, "Smart sweet home. . . a pervasive environment for sensing our daily activity?" Activity Recognition in Pervasive Intelligent Environments, vol. 4, pp. 187-208, 2011.
5. H. Medjahed, D. Istrate, J. Boudy, and B. Dorizzi, "A fuzzy logic system for home elderly people monitoring (emutem)," in Proceedings of the 10th WSEAS international conference on Fuzzy systems. Stevens Point, Wisconsin, USA: World Scientific and Engineering Academy and Society (WSEAS), 2009, pp. 69-75.
6. D. S. Wonjoon Kang, Dongkyoo Shin, "Detecting and predicting of abnormal behavior using hierarchical markov model in smart home network," in Industrial Engineering and Engineering Management (IE EM), 2010, pp. 69-75.
7. T. Miklusčák and M. Gregor, "Person movement prediction using artificial neural networks with dynamic training on a fixed-size training data set," Applied computer science : management of production processes, vol. 7, no. 2.
8. B. Kaluža and M. Gams, "An approach to analysis of daily living dynamics," vol. 1, 2010, pp. 485-490.
9. T. Choudhury, M. Philipose, D. Wyatt, and J. Lester, "Towards activity databases: Using sensors and statistical models to summarize people's lives," IEEE Data Eng. Bull, 2006.
10. J. Weisenberg, P. Cuddihy, and V. Rajiv, "Augmenting motion sensing to improve detection of periods of unusual inactivity," in Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments, ser. HealthNet '08, 2008, pp. 2:1-2:6. [Online]. Available: http://doi.acm.org/10.1145/1515747.1515751
11. T. Kohonen and T. Honkela, "Kohonen network," 2007, accessed: March 2012. [Online]. Available: http://www.scholarpedia.org/article/Kohonen network
12. L. R. Rabiner, "A tutorial on hidden markov models and selected applications in speech recognition," in Proceedings of the IEEE, 1989, pp. 257-286.
13. "European Network of Living Labs - knowledge Center," accessed: March 2012. [Online]. Available: http://knowledgecentre.openlivinglabs.eu/