Project description
AI-based monitor system to reduce road accidents
In Europe, road accidents result in approximately 500 deaths and 135 000 serious injuries each week. To address this issue, the EU has established the Vision Zero goal, aiming to eliminate accidents by 2050. A General Safety Regulation mandates driver assistance devices in all vehicles by 2030. However, current solutions are limited and often generate false alarms. With the support of the Marie Skłodowska-Curie Actions programme, the EmotAI project will develop an AI-based Emotion Driver State Monitoring System. The goal is to maximise driver attention and safety by comprehensively understanding the driver’s behaviour and emotional state. This understanding will be achieved by combining information from factors such as attention level, performance level, and external factors.
Objective
According to the European Union (EU) statistics, in Europe alone road crashes kills around 500 persons every week, more than 25000 people die every year, and more than 135000 are seriously injured, with a monetary cost of around 280 billion EUR. To halt this uncovered pandemic, the EU has declared its ambitious long-term goal call ‘Vision Zero’ to reduce the number of casualties and accidents to zero by the year 2050. To advance towards this goal, a General Safety Regulation (GSR), has been recently mandated to install driver assisting devices by 2030 focusing on the major factors causing crashes: driver distraction, fatigue and drowsiness. To comply with these regulations automobile companies are eager to install advanced driver assistance technologies in vehicles for driver assistance and alerting. Current solutions however are limited to some specific aspects (e.g. sleeping, phoning, looking off,), without having a holistic understanding of the whole situation of the driver, and with a big rate of false alarms that generate more distraction and annoyance to the driver, that ultimately prefers to switch it off to avoid having continuous false alarms without any benefit. To tackle this important challenge, in this fellowship, we propose to develop EmotAI (Emotion Driver State Monitoring System based on AI) a non-invasive tool that aims to address driver state monitoring and alertness challenges, to maximize driver attention and safety. We will be doing this by integrating novel AI-based technology using deep neural networks with non-invasive sensors and cameras with the novel theories in cognitive psychology in driving that aim to combine the information from 4 main pillars: the attention level, the activation level, the performance level, and the external factors. Our unique innovative solution aims to provide for the first time a comprehensive, holistic understanding of the driver’s behavior and emotional status to provide timely alerts to prevent accidents.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- medical and health sciences health sciences public health epidemiology pandemics
- social sciences psychology
You need to log in or register to use this function
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.
-
HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
See all projects funded under this programme
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.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
See all projects funded under this funding scheme
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) HORIZON-MSCA-2022-PF-01
See all projects funded under this callCoordinator
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.
36208 VIGO
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.