Call For An Industrial Partner - TOBI Project

The following project currently active in the Seventh Framework program of the European Community for research area and to innovation (2007-2013) requires the participation of a new partner to carry out certain tasks within the project. Please note that the Seventh Framework program offers part-funding not full-funding of research activities.

Project grant agreement number: FP7-224631
Project Acronym: TOBI
Project Full Name: Tools for Brain-Computer Interaction
Language in which the submission should be submitted: English
Date of close of call: 5pm Brussels time on June 2nd 2010

Call Details
TOBI (Tools for Brain-Computer Interaction) is a large European integrated project that aims to develop practical technology for brain-computer interaction (BCI) in order to improve the quality of life of disabled people and the effectiveness of rehabilitation.

TOBI is seeking an industrial partner to join the consortium.

Background
TOBI consortium is coordinated by the Ecole Polytechnique Fédérale de Lausanne and is a multidisciplinary consortium which brings together a unique critical mass of first-level European research, bioethics, applied AT, industry, clinics and user groups, all working to realise the vision of brain-computer interaction.

The consortium has identified four application areas where BCI assistive technology can make a real impact for people with motor disabilities: Communication & Control, Motor Substitution, Entertainment and Motor Recovery. Moreover, the project also focuses on research areas, such as human computer interaction, mental state analysis, hardware and software architecture, hybrid development. This last area aims to develop a multimodal human-computer interaction, where BCI is just one of the possible interaction channels.

Objectives of the call
TOBI project already started in November 2008 and at the current stage (after the first 1.5 years), as originally planned, we are looking for an industrial partner to join the consortium, in order to perform the following tasks:

  • Support the development of one or more Application and/or Research project areas, according to applicant experience.
  • Actively participate in the development of TOBI industrial strategy to bring TOBI results in the field of BCI technology to the market.

Budget
The new industrial partner will be allocated a budget for up to 480'000 Euros to cover its participation in TOBI over 2 years.

Application process
Applications should be made in writing using the TOBI guideline for participant and include information about the following:

  • An overview of the relevant experience and expertise of the applicant.
  • The principal motivation for the company to join TOBI.
  • The project area the applicant would like to contribute to.
  • How the applicant company aims to contribute to the development and implementation of the industrial strategy of TOBI project.
  • Cost and funding breakdown

Applications for this tender should be submitted by email to: This email address is being protected from spambots. You need JavaScript enabled to view it. with the subject "TOBI Call for Industrial Partner". All applications are treated confidentially.

Should you wish to discuss the project before making an application please contact Prof. José del R. Millán by phone at +41-21-6937391.

The successful candidate(s) will be notified by email within 1 month after the deadline.

Deadline
The deadline for applications is 5pm Brussels time on June 2nd, 2010.

For further information, please visit:
http://www.tobi-project.org

Most Popular Now

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

SPARK TSL Acquires Sentean Group

SPARK TSL is acquiring Sentean Group, a Dutch company with a complementary background in hospital entertainment and communication, and bringing its Fusion Bedside platform for clinical and patient apps to...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...