The Swiss Foundation for Rehabilitation Technology (FSP) founds the Innovation center for Assistive Technologies (IATLab).

FSP develops auxiliary technological tools for people living with a handicap or  neurological disorder since 1999. The Innovation center for Assistive Technologies (IATLab) was founded on January 1st 2018 in Sierre for the development of new auxiliary tools for people suffering paralysis from a spinal cord injury.

More information on the website: http://fst.ch/fr/

CLEF 2017 working notes now available online

The CLEF 2017 Working Notes have been published in CEUR-WS as volume 1866: http://ceur-ws.org/Vol-1866/

The CLEF 2017 conference is the eighteenth edition of the popular CLEF campaign and workshop series which has run since 2000 contributing to the systematic evaluation of multilingual and multimodal information access systems, primarily through experimentation on shared tasks. In 2010 CLEF was launched in a new format, as a conference with research presentations, panels, poster and demo sessions and laboratory evaluation workshops. These are proposed and operated by groups of organizers volunteering their time and effort to define, promote, administrate and run an evaluation activity. CLEF 2017 was hosted by the ADAPT Centre , Dublin City University and Trinity College Dublin from the 11th to 14th September 2017. This year’s conference was also co-located with MediaEval and the program included joint sessions between both MediaEval and CLEF to allow for cross fertilisation.

Medical Computer Vision 2016 proceedings available online

The proceedings from the Medical Computer Vision 2016 workshop, from MICCAI2016 are now available online.

The goal of the MCV workshop is to explore the use of “big data” algorithms for harvesting, organizing and learning from large-scale medical imaging data sets and for general-purpose automatic understanding of medical images.
The BAMBI workshop aims to highlight the potential of using Bayesian or random field graphical models for advancing research in biomedical image analysis.

NVIDIA GPU grant approved for MEGANE PRO project

The NVIDIA GPU grant program awarded a Titan Xp to the MEGANE PRO project.

Hand amputations are highly impairing and can dramatically affect the capabilities people. Man-machine interfaces that can control hand prostheses have been developed, but natural control methods are still only rarely applied in real life. The requested GPU will allow us to develop this research field that has high scientific and social impact. The project includes the development of highly specific data classification and fusion algorithms based on convolutional and recurrent neural networks. The algorithms will allow to control a 3D printed prosthetic hand and/or a robotic hand simulator based on virtual reality in real time.