Objective
Mental fatigue is a symptom of many neuromuscular disorders and acute diseases and is also closely associated with the long-lasting, repetitive and/or monotonous activities of normal everyday of healthy individuals. It is commonly defined as a state that involves mental and physical tiredness or exhaustion, with a vast range of symptoms including poor concentration, lack of motivation, tired eyes, yawning, and increased blinking. In neuromuscular rehabilitation, mental fatigue of a patient is closely related to effectiveness, usability and attractiveness of the rehabilitation process itself, reflecting possible non-compliance of the end-user, either due to frustrating, exhausting, boring, annoying or error-prone aspects of rehabilitation.
The phenomenon of mental fatigue has been addressed by many studies, investigating the association between brain electrical activity using electroencephalography (EEG) and the onset of fatigue symptoms. Although highly attractive and informative, BNCI-based systems are very new and considered unreliable for use in clinical practice. On the other hand, more evident visual signs of mental fatigue, such as tired eyes, yawning, and increased blinking can be robustly detected by video-based monitoring of a person’s face but offer less direct measures of a mental fatigue.
qFATIGUE proposes development and validation of a multimodal bio-feedback interface for simultaneous extraction of mental fatigue from video-based and EEG-based monitoring of a person. The main motivation builds on the need for improved understanding and assessment of motivation in rehabilitation patients during their daily exercise and their acceptance or rejection of different reward mechanisms. The proposed information extraction interface will be benchmarked in various experimental conditions, ranging from rich graphical support, such as in virtual environments, to simple visual and audio stimulations.
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.
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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.
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.
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.
FP7-PEOPLE-2010-RG
See other projects for this call
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.
Coordinator
2000 Maribor
Slovenia
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.