Brain computer interaction & Simulation

brain-computer

Que nous soyons scientifique, ingénieur ou passionné de technologies, nous souhaitons tous – ou presque – explorer de nouvelles approches qui favorisent les interactions avec le monde numérique, améliorer notre créativité et notre manière d’apprendre au travers d’interfaces engageantes et motivantes. Lors de cette session vous découvrirez comment les travaux de recherche issus d’INRIA et du projet européen HBP ont rendu tout cela possible.

Session animée par:

Stéphane Ribas, Inria

Stéphane is working on developing approaches to “build and sustain Open Source Communities”. He helps research & development teams at Inria to organise and foster the creation of open communities (Poppy Humanoid, QualipSo, AspireRFID, OpenVibe, Sofa, MMGTools, etc.). He wrote a book about his experience on that topic (http://framabook.org/logiciels-et-objets-libres/). He is also one of the main organizers of the fOSSa conference (fOSSa = Free Open Source Software for Academia = http://fossa.inria.fr/) where many of the trends about open source is adressed.

@stephaneribas

Interventions:

HBP Project (Human Brain Project)

Igor Peric, FZI

Open Vibe & Mensia Startup

Jussi Lindgren & Jozef Legény, Inria

Physiological computing & spatial augmented reality: reflecting on inner states

Jérémy Frey, Inria

TALK 1 – HBP Project (Human Brain Project)

The Human Brain Project (HBP) is a European Union FET flagship project that aims to put in place a cutting-edge research infrastructure that will allow scientific and industrial researchers to advance our knowledge in the fields of neuroscience, computing, and brain-related medicine.

The Neurorobotics Platform (NRP) developed in the Human Brain Project (HBP) is an Internet-accessible simulation system that allows the simulation of robots controlled by spiking neural networks. It targets researchers of multiple fields. Prospected users include, but are not limited to, neuroscientists wanting to validate brain models in the context of closed action-perception loops as well as robotics researchers wanting to develop new neuro-inspired controllers.

This talk will cover general information about HBP, as well as technology stack used in implementation of Neurorobotics platform, with focus on transparency and openness, transparency and collaboration that spans through all of the processes, from project planning, through development to scientific dissemination.

  • www.humanbrainproject.eu
  • www.neurorobotics.eu
  • www.bitbucket.org/hbpneurorobotics

Igor Peric, FZI Forschungszentrum Informatik

Igor Peric is a Human Brain Project research associate at FZI Forschungszentrum Informatik in Karlsruhe (Germany), working as a platform developer on HBP SP10: Neurorobotics subproject. He is a holder of Master’s degree in Computer Vision and Robotics (VIBOT) and PhD student at Karlsruhe Institute of Technology. During his academic career he has participated in numerous international and European competitions in algorithmic problem solving, software development and robotics. Hands on experience in machine learning, computer vision, algorithms and data structures shifted his most recent research interests to application of biologically inspired neural networks and knowledge representation in area of robotics.

  • www.linkedin.com/in/igorperic

@codeteam17

TALK 2 – OpenViBE & Mensia Technologies Startup

Brain-Computer Interfaces are long-emerging technologies aimed at controlling computers with brain activity. In this talk, we describe OpenViBE, one of the leading software platforms for designing and exploring EEG-based Brain-Computer Interfaces, intended to be used live, with real equipment, with real brains. The software has been in development since 2006 at Inria, France. It is released as AGPL3 open source biannually, and supports a wide variety of acquisition devices. To make BCI happen, OpenViBE additionally provides a large palette of signal processing, visualization and classification modules that can be graphically assembled to create BCI signal processing pipelines. Data and control can be sent and received between OpenViBE and external applications in various ways. Programming skills might not be required to work with OpenViBE! In addition to the free OpenViBE software, we discuss a few forthcoming commercial applications based on it developed by Mensia Technologies.

Jussi T. Lindgren / Inria & Jozef Legény / Mensia Technologies

Dr. Jussi T. Lindgren (PhD) and M. Eng. Jozef Legény are the two long-standing technical generals and inheritors of the OpenViBE project succession line. Dr. Lindgren performs as the current Lead Engineer of the OpenViBE platform at Inria since 2013, holding the title after M. Eng Legény, who is presently the Lead Software Architect of Mensia Technologies. Their interests include machine learning, cortical dynamics, cooking and computational breakdance.

@openvibebci

TALK 3 – Physiological computing & spatial augmented reality: reflecting on inner states

Potioc is an Inria project-team, joint with Université de Bordeaux and CNRS. The overall objective of Potioc is to explore new approaches that favor rich interaction with the digital world through engaging and motivating interfaces, with the final goal of stimulating creation, learning, or well-being. To do so, the team leverages on brain-computer interfaces (BCI) and on physiological sensors, while at the same time Potioc designs and evaluates new popular user interfaces. This latter work resulted in PaPart, an opensource software development kit for spatial augmented reality that merges digital content with the physical world, thanks to the use of a video projector and a depth camera.

 Since BCI can assess mental states, we used such technology to create tangible avatars that reveal in real time users’ inner states. Teegi, a “Tangible EEG interface”, takes the appearance of a puppet and lets novices discover their brain activity by themselves. Its follow-up, Tobe, a “Tangible out-of-body experience” is published as an open toolkit. Tobe gives access to various high-level mental states and exposes physiological signals such as breathing or heart rate. Overall, these “introspectibles” help people to know themselves and others better. We envision how they could be used to improve well-being and raise social awareness.

Jérémy Frey, Inria

Jérémy Frey is a researcher in human-computer interaction at Inria, member of the Potioc team. After a master degree in cognitive science in 2012, he obtained a PhD in computer science in 2015. During his work, he studied how brain-computer interfaces could contribute to the evaluation of user experience and how exposing inner states could help one to better know oneself and others.

@jfrey-xx

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