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Open Access

Towards a Service-Oriented Architecture for a Mobile Assistive System with Real-time Environmental Sensing

Darpan Triboan, Liming Chen, Feng Chen, Zumin Wang( )
Context, Intelligence, and Interaction Research Group (CIIRG), De Montfort University, Leicester, LE1 9BH, UK.
Department of Information Engineering, Dalian University, Dalian 116622, China.
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Abstract

With the growing aging population, age-related diseases have increased considerably over the years. In response to these, Ambient Assistive Living (AAL) systems are being developed and are continually evolving to enrich and support independent living. While most researchers investigate robust Activity Recognition (AR) techniques, this paper focuses on some of the architectural challenges of the AAL systems. This work proposes a system architecture that fuses varying software design patterns and integrates readily available hardware devices to create Wireless Sensor Networks (WSNs) for real-time applications. The system architecture brings together the Service-Oriented Architecture (SOA), semantic web technologies, and other methods to address some of the shortcomings of the preceding system implementations using off-the-shelf and open source components. In order to validate the proposed architecture, a prototype is developed and tested positively to recognize basic user activities in real time. The system provides a base that can be further extended in many areas of AAL systems, including composite AR.

Keywords

Activities of Daily Living (ADL)Service-Oriented Architecture (SOA)semantic webontology modelingWeb Ontology Language (OWL)Activity Recognition (AR)Smart Homes (SH)Wireless Sensor Networks (WSNs)

References

[1]
Zhang X., Wang H., and Yu Z., Toward a smart home environment for elder people based on situation analysis, in 2010 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing, 2010, pp. 7-12.
Crossref
[2]
Sterritt R. and Nugent C., Autonomic computing and ambient assisted living - extended abstract, in Engineering of Autonomic and Autonomous Systems (EASe), 2010 Seventh IEEE International Conference and Workshops on, 2010, pp. 149-151.
Crossref
[3]
Triboan D., Chen L., and Chen F., Towards a mobile assistive system using service-oriented architecture, in 2016 IEEE Symposium on Service-Oriented System Engineering Towards, 2016, pp. 187-196.
Crossref
[4]
Bohme G., Invasive Technification: Critical Essays in the Philosophy of Technology. Bloomsbury Publishing, 2012.
[5]
Pavlic L., Hericko M., and Podgorelec V., Improving design pattern adoption with ontology-based design pattern repository, in Information Technology Interfaces, 2008. ITI 2008. 30th International Conference on, 2008, pp. 649-654.
Crossref
[6]
Ali M. and Elish M. O., A comparative literature survey of design patterns impact on software quality, in Information Science and Applications (ICISA), 2013 International Conference on, 2013, pp. 1-7.
Crossref
[7]
Zhang C., Budgen D., and Drummond S., Using a follow-on survey to investigate why use of the visitor, singleton & facade patterns is controversial, in Proceedings of the ACM—IEEE International Symposium on Empirical Software Engineering and Measurement—ESEM’12, 2012, pp. 79-88.
Crossref
[8]
Chen L., Hoey J., Nugent C. D., Cook J. D., and Yu Z., Sensor-based activity recognition, IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, vol. 42, no. 6, pp. 790-808, 2012.
Crossref Google Scholar
[9]
Ameen A., Khan K. U. R., and Rani B. P., Extracting knowledge from ontology using Jena for semantic web, in 2014 International Conference for Convergence of Technology(I2CT), 2014.
Crossref
[10]
Staab S. and Rudi S., Handbook on Ontologies, 2nd Ed. Springer-Verlag, 2009.
Crossref
[11]
Culmone R., Falcioni M., Giuliodori R., Merelli E., Orru A., Quadrini M., Ciampolini P., Grossi F., and Matrella G., AAL domain ontology for event-based human activity recognition, in Mechatronic and Embedded Systems and Applications (MESA), IEEE/ASME 10th Intl Conf, 2014.
Crossref
[12]
Chen L., Nugent C., and Okeyo G., An ontology-based hybrid approach to activity modeling for smart homes, IEEE Transactions on Human-Machine Systems, vol. 44, no. 1, pp. 92-105, 2014.
Crossref Google Scholar
[13]
Gaaevic D., Djuric D., Devedzic V., and Selic B., Model Driven Architecture and Ontology Development. Springer-Verlag, 2006.
[14]
Davies J., Harmelen F., and Fensel D., eds. Towards the Semantic Web: Ontology-driven Knowledge Management. John Wiley & Sons, 2002.
Crossref
[15]
Powers S., Practical RDF. O’Reilly & Associates, 2003.
[16]
Apache, An introduction to RDF and the Jena RDF API, http://jena.apache.org/tutorials/rdf_api.html, 2016.
[17]
W3C, OWL 2 web ontology language document overview, http://www.w3.org/TR/owl2-overview/, 2012.
[18]
DuCharme B., Learning SPARQL, 2nd Ed. O’Reilly Media, 2013.
[19]
Pawgasame W., A survey in adaptive hybrid wireless sensor network for military operations, in 2016 Second Asian Conference on Defence Technology (ACDT), 2016, pp. 78-83.
Crossref
[20]
Hu X., Yang L., and Xiong W., A novel wireless sensor network frame for urban transportation, IEEE Internet of Things Journal, vol. 2, no. 6, pp. 586-595, 2015.
Crossref Google Scholar
[21]
Gaikwad P., Gabhane J. P., and Golait S. S., A survey based on smart homes system using internet-of-things, in 2015 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC), 2015, pp. 330-335.
Crossref
[22]
Khan I., Belqasmi F., Glitho R., Crespi N., Morrow M., and Polakos P., Wireless sensor network virtualization: A survey, IEEE Communications Surveys & Tutorials, vol. 18, no. 1, pp. 553-576, 2016.
Crossref Google Scholar
[23]
Amazon, Amazon echo, http://www.amazon.com/Amazon-SK705DI-Echo/dp/B00X4WHP5E, 2016.
[24]
Samsung, SmartThings, https://www.smartthings.com/compatible\discretionary{-}{}{}products, 2016.
[25]
IFTTT, Recipes on IFTTT are the easy way to automate your world, https://ifttt.com/, 2016.
[26]
Perez M. S. and Carrera E., Time synchronization in Arduino-based wireless sensor networks, IEEE Latin America Transactions, vol. 13, no. 2, pp. 455-461, 2015.
Crossref Google Scholar
[27]
Samsung SmartThings, SmartThings shield for Arduino, https://shop.smartthings.com/#!/products/smartthings-shield-arduino, 2016.
[28]
Chen L., Nugent C., and Al-Bashrawi A., Semantic data management for situation-aware assistance in ambient assisted living, in Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services- IIWAS ’09, 2009.
Crossref
[29]
Chen L., Nugent C., and Rafferty J., Ontology-based activity recognition framework and services, in Proceedings of International Conference on Information Integration and Web-based Applications & Services - IIWAS ’13, 2013, pp. 463-469.
Crossref
[30]
Wang X., Wang J., Wang X., and Chen X., Energy and delay tradeoff for application offloading in mobile cloud computing, IEEE Systems Journal, 2015. .
Crossref Google Scholar
[31]
Martn D., Lpez de Ipia D., Alzua-Sorzabal A., Lamsfus C., and Torres-Manzanera E., A methodology and a web platform for the collaborative development of context-aware systems, Sensors, vol. 13, no. 5, p. 6032, 2013.
Crossref Google Scholar
[32]
Guo B., Zhang D., and Imai M., Toward a cooperative programming framework for context-aware applications, Personal and Ubiquitous Computing, vol. 15, no. 3, pp. 221-233, 2011.
Crossref Google Scholar
[33]
Borza P. N., Romanca M., and Delgado-Gomes V., Embedding patient remote monitoring and assistive facilities on home multimedia systems, in 2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), 2014, pp. 873-879.
Crossref
[34]
Kistel T., Wendlandt O., and Vandenhouten R., Using distributed feature detection for an assistive work system, in 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014, pp. 1801-1802.
Crossref
[35]
Paola A. D., Ferraro P., Gaglio S., and Lo Re G., Autonomic behaviors in an ambient intelligence system, in 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence (IEEE SSCI 2014), 2014.
Crossref
[36]
Reichman A. and Zwiling M., The architecture of ambient assisted living system, in IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems, 2011.
Crossref
[37]
Khan A. N., Rodrguez D., Danielsson-Ojala R., Pirinen H., Kauhanen L., Salanter S., Majors J., Bjrklund S., Rautanen K., Salakoski T., et al., Smart dosing: A mobile application for tracking the medication tray-filling and dispensation processes in hospital wards, in 6th International Workshop on Intelligent Environments Supporting Healthcare and Well-being (WISHWell’14), 2014.
[38]
Sheng Q. Z., Qiao X., Vasilakos A. V., Szabo C., Bourne S., and Xu X., Web services composition: A decade’s overview, Information Sciences, vol. 280, pp. 218-238, 2014.
Crossref Google Scholar
[39]
He G., Wu S., and Yao J., Application of design pattern in the JDBC programming, in the 8th International Conference on Computer Science & Education (ICCSE), 2013, pp. 1037-1040.
Crossref
[40]
Apache Jena Fuseki, https://jena.apache.org/documentation/fuseki2/index.html, 2016.
[41]
Hu X., Chu T., Leung V., Ngai E.C.-H., Kruchten P., and Chan H., A survey on mobile social networks: Applications, platforms, system architectures, and future research directions, IEEE Communications Surveys Tutorials, vol. 17, no. 3, pp. 1557-1581, 2014.
Crossref Google Scholar
[42]
Jersey, RESTful web services in Java, https://jersey.java.net/, 2016.
[43]
Jersey, Server-Sent Events (SSE) support, https://jersey.java.net/documentation/latest/sse.html, 2016.
[44]
Apache, Jena ontology API, https://jena.apache.org/documentation/ontology/, 2016.
[45]
Ayad M., Taher M., and Salem A., Real-time mobile cloud computing: A case study in face recognition, in 2014 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA), 2014, pp. 73-78.
Crossref
[46]
Abolfazli S., Sanaei Z., Ahmed E., Gani A., and Buyya R., Cloud-based augmentation for mobile devices: Motivation, taxonomies, and open challenges, IEEE Communications Surveys and Tutorials, vol. 16, no. 1, pp. 337-368, 2014.
Crossref Google Scholar
[47]
Li Z. and Yap K., Context-aware discriminative vocabulary tree learning for mobile landmark recognition, Digital Signal Processing, vol. 24, pp. 124-134, 2014.
Crossref Google Scholar
[48]
Shimmer, Shimmer sensing, http://www.shimmersensing.com/, 2015.
[49]
Libelium, Waspmote plug & sense, http://www.libelium.com/products/plug-sense/, 2013.
[50]
Care Quality Commission, About us, http://www.cqc.org.uk/content/about-us, 2016.
[51]
Dentler K., Cornet R., ten Teije A., and de Keizer N., Comparison of reasoners for large ontologies in the OWL 2 EL profile, Semantic Web, vol. 2, no. 2, pp. 71-87, 2011.
Crossref Google Scholar
[52]
Stanford University, A free, open-source ontology editor and framework for building intelligent systems, http://protege.stanford.edu/, 2016.
[53]
Google, Products, https://developers.google.com/products/, 2016.
[54]
Faludi R., Building Wireless Sensor Networks, 1st Ed. O’Reilly Media, 2010.
[55]
Igoe T., Making Things Talk, 2nd Ed. Maker Media, Inc, 2007.
[56]
Meditskos G., Dasiopoulou S., Vasiliki E., and Kompatsiaris I., Sp-act: A hybrid framework for complex activity recognition combining owl and sparql rules, in 2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), 2013, pp. 25-30.
Crossref
[57]
W3C, SPIN — Overview and motivation, http://www.w3.org/Submission/spin-overview/, 2011.
[58]
Lomotey R. K. and Deters R., Sensor data propagation in mobile hosting networks, in 2015 IEEE Symposium on Service-Oriented System Engineering (SOSE), 2015, pp. 98–106.
Crossref Google Scholar
[59]
Dai W. and Vyatkin V., A component-based design pattern for improving reusability of automation programs, in IECON Proceedings (Industrial Electronics Conference), 2013, pp. 4328-4333.
Crossref
[60]
Xu X., Tao Y., Wang X., and Ding X., Research on architecture of smart home networks and service platform, in 2014 5th International Conference on Digital Home (ICDH), 2014, pp. 232–236.
Crossref Google Scholar
[61]
Chen L., Nugent C. D., and Wang H., A knowledge-driven approach to activity recognition in smart homes, IEEE Transactions on Knowledge and Data Engineering, vol. 24, no. 6, pp. 961-974, 2012.
Crossref Google Scholar
[62]
Amazon Developer, Alexa — Build engaging voice experiences for your services and devices. http://developer.amazon.com/public/solutions/alexa, 2016.
[63]
W3C, SWRL: A semantic web rule language combining OWL and RuleML, https://www.w3.org/Submission/SWRL/, 2004.
Tsinghua Science and Technology
Volume 21 Issue 6,
December 2016
Pages 581-597
DOI: 10.1109/TST.2016.7787002
Cite this article:
Triboan D, Chen L, Chen F, et al. Towards a Service-Oriented Architecture for a Mobile Assistive System with Real-time Environmental Sensing. Tsinghua Science and Technology, 2016, 21(6): 581-597. https://doi.org/10.1109/TST.2016.7787002

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Received: 01 July 2016
Revised: 12 September 2016
Accepted: 03 October 2016
Published: 19 December 2016
© The author(s) 2016
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