Project Details
Description
Context awareness has the potential to revolutionise the way people interact with information technology. Whereas conventional computers merely interpret explicit user input, context-aware systems analyse and automatically respond upon users’ behaviour and situation he/she is in. This enables electronic systems to assist users in situations in which the use of conventional computers and mobile devices is out of question. A particularly relevant field are healthcare, wellness, and assisted living (HWA) applications, which is at the focus of the proposed network. Research on context awareness has continued to intensify in the last decade due to the availability of cheap sensing technologies and mobile
systems. Still, building reliable context-aware systems that can deal with complex real-life situations and environments remains an open research challenge and requires a multi-disciplinary effort. iCareNet will make a decisive contribution towards solutions, leveraged through an interdisciplinary perspective ranging from sensing and sensor integration, to human-computer interaction and social factors involved in the deployment of context-aware applications. Robust and scalable system architectures and design methodologies are the principal objective of all iCareNet efforts. iCareNet unites efforts of an interdisciplinary network of leading European research groups and a strong industrial participation. Researchers will receive comprehensive inter-domain training through a series of network-wide training events on topics including signal processing, behaviour inference techniques, privacy and security, and social aspects. A number of measures including the establishment ERASUMS partnerships, formal recognition of lectures, and the design of long-term joint Ph.D. programs will ensure that the network leads to long-lasting collaborations
and benefits for the involved institutions.
systems. Still, building reliable context-aware systems that can deal with complex real-life situations and environments remains an open research challenge and requires a multi-disciplinary effort. iCareNet will make a decisive contribution towards solutions, leveraged through an interdisciplinary perspective ranging from sensing and sensor integration, to human-computer interaction and social factors involved in the deployment of context-aware applications. Robust and scalable system architectures and design methodologies are the principal objective of all iCareNet efforts. iCareNet unites efforts of an interdisciplinary network of leading European research groups and a strong industrial participation. Researchers will receive comprehensive inter-domain training through a series of network-wide training events on topics including signal processing, behaviour inference techniques, privacy and security, and social aspects. A number of measures including the establishment ERASUMS partnerships, formal recognition of lectures, and the design of long-term joint Ph.D. programs will ensure that the network leads to long-lasting collaborations
and benefits for the involved institutions.
| Acronym | iCareNet |
|---|---|
| Status | Finished |
| Effective start/end date | 01/01/2011 → 31/12/2014 |
Collaborative partners
- IT University of Copenhagen
- Imperial College London (Project partner)
- Future-Shape GmbH (Project partner)
- University of Passau (Project partner)
- VTT Technical Research Centre of Finland (Project partner)
- Noldus Information Technology BV (Project partner)
- Bispebjerg Hospital (Project partner)
- Swiss Federal Institute of Technology Zürich (Project partner)
- SAP Research (Project partner)
- Lancaster University (Project partner)
- Philips Electronics Nederland B.V. (Project partner)
- Eindhoven University of Technology (Project partner) (lead)
Funding
- European Commission: DKK37,217,279.00
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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EyeGrip: Detecting Targets in a Series of Uni-directional Moving Objects Using Optokinetic Nystagmus Eye Movements
Jalaliniya, S. & Mardanbeigi, D., 11 May 2016, Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, p. 5801-5811 11 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Qualitative Study of Surgeons Using a Wearable Personal Assistant in Surgeries and Ward Rounds
Jalaliniya, S. & Pederson, T., 2016, eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers. Springer, p. 208-219 12 p. ( Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 181).Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Open AccessFile -
Seamless interaction with scrolling contents on eyewear computers using optokinetic nystagmus eye movements
Jalaliniya, S. & Mardanbegi, D., 8 Mar 2016, ETRA '16 Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications. Association for Computing Machinery, p. 295-298 4 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Activities
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iCareNet Summer School
Bardram, J. (Organizer)
23 Sept 2013 → 27 Sept 2013Activity: Participating in or organising an event types › Organisation and participation in workshop, seminar, course
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Secondment at ETH Wearable Computing Lab in Zurich
Jalaliniya, S. (Participant)
20 Feb 2014 → 20 May 2014Activity: Other activity types › Other (prizes, external teaching and other activities) - Period visiting other institutions