Improving Context-aware Applications for the Well-being Domain - Model-driven Design Guided by Medical Knowledge
Steven Bosems, Marten van Sinderen
2014
Abstract
Computing applications for among others well-being and health become increasingly advanced as a result of their sensor-based awareness of the context in which they are used. Context-aware applications have the potential of providing enriched services to their users, i.e. services that are appropriate for the context at hand. A challenge for the design of context-aware applications is to identify and develop service enrichments which are effective and useful while not being overly complex and costly. It is hard to imagine, both for the designer and end-user, all possible relevant contexts and best possible corresponding enriched services. An enriched service which is not appropriate for the context at hand can irritate or even harm the user, and (eventually) leads to avoiding the use of the service. This paper discusses a model-driven approach that incorporates domain knowledge concerning the causal relationship between context factors and human conditions. We believe that such an approach facilitates the identification and development of appropriate sensor-based context-aware services. We focus on context-aware applications for the well-being domain.
References
- Avci, A., Bosch, S., Marin-Perianu, M., Marin-Perianu, R., and Havinga, P. (2010). Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: a survey. In 23rd Int. Conf. on Architecture of Computing Systems (ARCS 2010), pages 1-10.
- Bosems, S., van Sinderen, M., Achterkamp, R., van der Meulen, F., van Dantzig, S., Goorden, M., and Mulder, S. (2013). COMMIT SWELL D1.2 Overall architecture. Technical report.
- European Commission (2013). Guidelines on a medical devices vigilance system. Technical report.
- Hall, J. E. (2010). Guyton and Hall Textbook of Medical Physiology. Saunders.
- Jorgensen, J. and Bossen, C. (2003). Requirements engineering for a pervasive health care system. In 11th IEEE Int. Requirements Engineering Conf., pages 55- 64. IEEE Comput. Soc.
- Kent, S. (2002). Model-Driven Engineering. In Integrated Formal Methods, pages 286-298. Springer.
- Maiden, N. A. M., Jones, S. V., Manning, S., Greenwood, J., and Renou, L. (2004). Model-Driven Requirements Engineering: Synchronising Models in an Air Traffic Management Case Study. In 16th Int. Conf. on Advanced Information Systems Engineering (CAiSE 2004), pages 368-383. Springer.
- Nakajima, H. and Shiga, T. (2011). Smart devices and services in healthcare and wellness. In Symposium on VLSI Circuits.
- Seyff, N., Graf, F., Grünbacher, P., and Maiden, N. (2008). Mobile Discovery of Requirements for Context-Aware Systems. In 14th Int. Working Conf., REFSQ 2008, pages 183-197.
- Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. McGrawHill/Irwin.
- U.S. Department of Health and Human Services Food and Drug Administration, Center for Devices and Radiological Health, and Center for Biologics Evaluation and Research (2013). Mobile Medical Applications: Guidance for Industry and Food and Drug Administration Staff. Technical report.
Paper Citation
in Harvard Style
Bosems S. and van Sinderen M. (2014). Improving Context-aware Applications for the Well-being Domain - Model-driven Design Guided by Medical Knowledge . In Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-001-7, pages 397-403. DOI: 10.5220/0004877503970403
in Bibtex Style
@conference{sensornets14,
author={Steven Bosems and Marten van Sinderen},
title={Improving Context-aware Applications for the Well-being Domain - Model-driven Design Guided by Medical Knowledge},
booktitle={Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2014},
pages={397-403},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004877503970403},
isbn={978-989-758-001-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Improving Context-aware Applications for the Well-being Domain - Model-driven Design Guided by Medical Knowledge
SN - 978-989-758-001-7
AU - Bosems S.
AU - van Sinderen M.
PY - 2014
SP - 397
EP - 403
DO - 10.5220/0004877503970403