Objective
This project aims to develop two new estimation paradigms for designing a reliable, high precision and real-time mobile positioning system (MPS): clustering for filtering (C4F) and fitting for smoothing (F4S). The present MPS faces two immediate challenges from the real life world. First, little is known about the background and therefore accurate system modelling is difficult or even impossible and the use of conventional filters/smoothers is challenging or even infeasible. Secondly, the data is very rich in the sense that it comes from multiple and many types of sensors with improved scanning frequency and accuracy. The rich sensor data can be used to circumvent poor background knowledge and to provide a greater breadth of observation regardless of individual sensor failure. However, it is expected that rich data will also pose a great challenge for real time filtering implementation.
This project will develop a new concept, “Big Sensor”, to flexibly utilize the rich time-varying sensor data in the concerned MPS and to implement C4F and F4S. The Big Sensor-based C4F and F4S use all available information including WIFI, Bluetooth, GPS signals as well as altitude, acceleration, and direction information based on embedded software to locate mobile devices. The resulting MPS will not rely on sophisticated filters and will therefore be more reliable and computationally faster.
The research emphasis of the project will be on flexible and optimal sensor data inference which is found by developing novel clustering and fitting algorithms. The researcher and the partitioning organizations have synergic expertise and solid research track records in the related fields. Smartphone-based realistic MPS applications (apps) will be developed, with the potential use of European GNSS. The resulting MPS and its apps will be integrated into a Home Care system that the Host group has investigated for the purpose of tracking the movement and well-being of elderly/disabled people.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences software
- social sciences social geography transport navigation systems satellite navigation system global navigation satellite system
- natural sciences computer and information sciences data science data mining
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- social sciences sociology governance crisis management
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2015
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
37008 SALAMANCA
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.