American Journal of Mechanical Engineering
ISSN (Print): 2328-4102 ISSN (Online): 2328-4110 Website: Editor-in-chief: Kambiz Ebrahimi, Dr. SRINIVASA VENKATESHAPPA CHIKKOL
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American Journal of Mechanical Engineering. 2013, 1(7), 217-220
DOI: 10.12691/ajme-1-7-13
Open AccessArticle

Multiagent Approach in Home Care Based on Open Architecture

Ondrej Biroš1, , Ján Karchňák1 and Dušan Šimšík1

1Department of Automation, Control and Human-Machine Interactions, Faculty of Mechanical Engineering, Technical University of Košice, Košice, Slovakia

Pub. Date: November 11, 2013

Cite this paper:
Ondrej Biroš, Ján Karchňák and Dušan Šimšík. Multiagent Approach in Home Care Based on Open Architecture. American Journal of Mechanical Engineering. 2013; 1(7):217-220. doi: 10.12691/ajme-1-7-13


The proposed paper presents multiagent-based architecture for home care system. In the first section, our motivation is described. The next section deals with basic hardware components and communication requirements. Third is brief introduction to multiagent systems followed by fourth section describes architecture for basic function of home care system. The fifth section deals with usability of wearable sensors to create synergic effect with home care system. The last section presents trials of wearable sensor’s implementation.

multiagent system home care wearable sensors elderly

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[1]  Koch, Sabine, “Home telehealth-Current state and future trends” in International Journal of Medical Informatics (2006) 75, 565—576.
[2]  Knight S, Tjassing H, “Health care moves to the home” World Health 1994, 413-444.
[3]  EUROPA.EU. 2008. Press Releases: Population projections 2008-2060. 2008. [online]. 2008-08-26, Available: <>. [Accessed Nov.2,2013].
[4]  Patel et al., “A review of wearable sensors and systems with application in rehabilitation”, in Journal of NeuroEngineering and Rehabilitation 2012, 9:21.
[5]  Bamberg et al., “Gait analysis using a shoe-integrated wireless sensor system”, in IEEE Transactions on information technology in biomedicine, vol. 12, no. 4, 2008.
[6]  Bruneti F. et al. “A new platform based on IEEE802.15.4 wireless inertial sensors for motion caption and assessment”, in: Proceedings of the 28th IEEE EMBS Annual International Conference, , 2006. pp. 6497-6500.
[7]  Self Mobility Improvement in the eLderly by counteractING falls (SMILING), part of the European Commission's 7th RTD Framework Programme-Specific Programme Cooperation, contract number 215493. Internal documentation
[8]  Zhang Z. et al., “Wearable sensors for 3D upper limb motion modeling and ubiquitous estimation”, in Journal of Control Theory and Applications. Vol. 9, No. 1, pp. 10-17.
[9]  Šimšík, D. et al., “MonAMI Platform in Elderly Household Environment Architecture, Installation, Implementation, Trials and Results”, in Lecture Notes in Computer Science : Computer Helping People with Special Needs. : Springer-Verlag, 2012 No. 7383, pp. 419-422.
[10]  Arduino specifications, available: www.
[11]  Galeev, M.T., “Catching the Z-Wave,-Embedded Systems Design”, available:
[12]  IEEE Standard for Local and metropolitan area networks— Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs) , 16.6.2011, available:
[13]  Zigbee specification, Zigbee Document 05347r17, 17 jan. 2008, available:
[14]  Kubík, Aleš, Inteligentní agenty, Computer Press 2004.
[15]  Yoav Shosam, “Agent-oriented programming”, in Artificial Inteligence Volume 60, Issue 1, March 1993, Page 51-92.
[16]  Wooldridge, M - Jennings,N., “Intelligent agents: theory and practice”, in The Knowledge Engineering Review, Volume 10, Issue 02, June 1995, 115-152.
[17]  Brooks A. Rodney, “Inteligence without reasoning, Computer and thoughts”, in IJCAI-91, april 1991, Massachussets institute of technology, Artificial intelligence laboratory.
[18]  Karulf, Erik: Body Area Networks (BAN). Available on:
[19]  Chakraborty, S. et al., “Detecting mobility for monitoring patients with Parkinson´s disease at home using RSSI in a Wireless Sensor Network” in Procedia Computer Science. 19 (2013) 956-961.
[20]  Knauth, S. et al., “Design of an Ultrasonic Localisation System with Fall Detection for use in Assisted Living Environments”, in IET Assisted Living 2009, London, March 2009.
[21]  Kamil Židek, Alexander Hošovský, Vladislav Maxim, “Real-time safety circuit based on combined MEMS sensor data for rehabilitation device”, in ICCC 2012 : proceedings of the 13th International Carpathian Control Conference : Podbanské, Slovak Republic, May 28-31, 2012. - Košice : TU, 2012 S. 786-790.