eWALL: An Intelligent Caring Home Environment Offering Personalized Context-Aware Applications Based on Advanced Sensing
- 421 Downloads
Independent living of senior citizens is one of the main challenges linked to the ageing population. Senior citizens may suffer from a number of diseases, including the decline in cardiopulmonary conditions, weaker muscle functions and a declined neuromuscular control of the movements, which result in a higher risk of fall and a higher vulnerability for cardiovascular and pulmonary diseases. With respect to cognitive functions, senior citizens may suffer from a decline of memory function, less ability to orientate and a declined ability to cope with complex situations. This is by itself a big societal challenge with impact in multiple sectors. In this paper we present an innovative ICT solution, named eWALL, that aims to address these challenges by means of an advanced ICT infrastructure and home sensing environment; thus differentiating from existing eHealth and eCare solutions. The system of eWALL will extend the state-of-the-art of Assistive Platforms and will significantly increase the independent living of seniors.
KeywordsCaring home eHealth Advanced sensing Personalized context-aware applications
This paper is based on the joint research work of the eWALL project consortium (EC, FP7 Grant Agreement no 610658). The authors would like to acknowledge the research effort of all eWALL colleagues for making this paper possible, as well as the European Commission for providing the FP7 funding framework.
In addition, the work has been partially funded by the Sectoral Operational Programme Human Resources Development 2007–2013 of the Romanian Ministry of European Funds through the Financial Agreement POSDRU/159/1.5/S/132397.
- 1.eWALL project deliverable D2.7, Final user and system requirements and architecture.Google Scholar
- 2.eWALL project deliverable D4.2, Intelligent support system for eWALL.Google Scholar
- 3.eWALL project deliverable D4.1, Semantic model of eWALL middleware services.Google Scholar
- 4.eWALL project deliverable D5.2, Lifestyle reasoning: Fusion for activities situations and their patterns.Google Scholar
- 7.Craciunescu, R., Halunga, S. & Fratu, O. (2015). Wireless ZigBee home automation system. In Proceedings SPIE 9258, advanced topics in optoelectronics, microelectronics, and nanotechnologies VII. February 21, 2015, Constanta Romania.Google Scholar
- 8.Ochian, A., Suciu, G., Fratu, O., Voicu, C. & Suciu, V. (2014). An overview of cloud middleware services for interconnection of healthcare platforms. In 10th international conference on communications (pp.1–4, 29–31) May 2014, Bucharest, Romania.Google Scholar
- 9.Suciu, G., Butca, C., Ochian, A.. & Halunga, S. Wearable sensors for health monitoring. In Proceedings SPIE 9258, advanced topics in optoelectronics, microelectronics, and nanotechnologies VII. 21 February 2015, Constanta Romania.Google Scholar
- 10.eWALL project deliverable D3.1.1, Intelligent context-aware services and applications.Google Scholar
- 11.eWALL project deliverable D3.3.1, D3.3.1: eWALL configurable metadata streams.Google Scholar
- 12.eWALL project deliverable D5.3, eWALL Networked Devices.Google Scholar
- 13.http://en.wikipedia.org/wiki/WAR_(file_format). Accessed 24 Oct 2014.