Project description
Learning from the hand: Augmented reality applications
Augmented reality (AR) is already widely used beyond video gaming in several applications, including advertising. Heavily invested in by giants of technology, AR presents limitations when it comes to use on mobile phones, which have to rely solely on their RGB camera. RealHands project works on real-time movement of a hand through computer vision, artificial intelligence and machine learning, still using the camera incorporated in smartphones. It has focused on understanding the movement of hands and creating a B2B solution for real-time movement that will use little computing power and energy. RealHands’s software will be widely useful in all kinds of applications, including education and health.
Objective
Mobile Augmented Reality has the potential to go beyond gaming and transform the way we learn, work and interact. The main issue with mobile AR so far has been that a seemingly simple task, that is to create a real time understanding of how the hand moves by using only the already installed RGB camera and the processing power available in a mobile phone has been an unsolved technical problem.
ManoMotion taps into this opportunity with its patented deep technology that integrates hand tracking and gesture analysis with Computer Vision, AI and Machine learning in a B2B solution that provides a framework for real- time 3D gestural analysis with the simple RGB camera found in everyday smartphones, with minimal computing power and minimal battery consumption. ManoMotion’s is the first software solution that creates realistic real-time hand understanding, gesture control & hand-to-object interaction in augmented reality and virtual reality environments. The company is on a mission to interpret human intent and make technology more natural and intuitive using one of the most versatile tools humans use to interact with the world: their hands. With the “RealHands” project, the company will push the development of the technology to be scalable and adaptable to a virtually endless range of applications: from videogaming to education to health applications.
Goldman Sachs estimate that the total accessible market for AR software is 35 B$ in 2025 60% of which is driven by consumers. The largest segment, according to the same study, is projected to be the videogame market which is expected to generate 11.6 B$ from over 216M users in 2025, followed by health case sector at 5.1 B$ and engineering 4.7 B$. Thanks to this project ManoMotion will become a prime mover of this market.
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
- natural sciences computer and information sciences artificial intelligence computer vision
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications mobile phones
- natural sciences computer and information sciences software software applications virtual reality
- natural sciences computer and information sciences software software applications simulation software
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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.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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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.
SME-2 - SME instrument phase 2
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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-EIC-SMEInst-2018-2020
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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.
111 36 STOCKHOLM
Sweden
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.