SSI wins Honorable Mention at the ACM MM Open Source Software Competition

The CEEDs coordination team was just informed now by the partner in Ausburg that the Social Signal Interpretation framework (SSI) which forms the basis of the XIM sensor platform was awarded with a Honorable Mention at the ACM MM Open Source Software Competition of this year’s ACM Multimedia Conference. Full list available here: From … Continue reading

CEEDs on and

Yesterday two of the most popular Italian newspapers published online some nice articles on CEEDs in the context of its participation in the Internet festival event that is taking place this week in Pisa. See articles here: La Repubblica La Nazione    


LINK: Applications are invited for a 3.5 year PhD studentship funded by the European Research Council to join a team within the Psychiatry group, BSMS and the Sackler Centre for Consciousness Science, University of Sussex. The aims of the research project are to examine the effects of heart-timing on the processing of fear and threat … Continue reading

Your car will automatically slow acceleration when you get distracted

Emotiv has developed a road safety system that automatically slows acceleration when a driver exhibits signs of distraction. Watch video below. For more information, see  

Baby X: a glimpse into the future of human interaction

At the Auckland Bioengineering Institute Dr. Sagar is creating interactive autonomously animated systems which are defining the next generation of human-computer interaction and facial animation. His most recent and innovative work is called “Baby X” – a virtual baby face powered by artificial intelligence  who, according to its creator, is able to interact with the world around … Continue reading

BigBrain: 3D digital model of the human brain unveiled

Researchers have created the first ultrahigh-resolution 3D digital model of the human brain. “Big Brain” is a free, publicly available tool which will allow neuroscientists across the world to investigate in microscopic detail (at nearly cellular resolution of 20 micrometers) the brain areas they are interested in.  For more info, please visit:  

Big Data analysis tool ‘Ares’ to tackle child abuse and cybercrime

Forensic investigation of big data documenting child abuse, hate crimes and computer hacking cases is being powered by British army’s crime-fighting software, which was first used to cope with alleged human rights abuses in Iraq. Image source: Guardian From the Guardian: Faced with vast quantities of filmed interviews, mobile phone traffic and digital evidence recording the detention of … Continue reading

Mid-air tactile feedback

A new device that will let Kinect users feel the effects of their gestures was unveiled at an international conference on computer graphics and interactive techniques in Califronia last week.  Developed by Disney Research in Pittsburgh, the ‘Aireal’ device fires compressed air that create tactile effects “ranging from the sensation of a butterfly resting on your arm, to … Continue reading

Evaluation week in the cXIM (Barcelona)

The evaluation of the CEEDs neuroscience application and different interaction methods in the CEEDs eXperience Induction Machine is in progress at Universitat Pompeu Fabra. The evaluation phase is led by University of Padova in collaboration with University of Helsinki,  and with UPF (development/setting of the environment and neuroscience application), and Goldsmiths, University of London (user requirement and … Continue reading

Facial analysis software to spot struggling students

Recent research from North Carolina State University shows how a facial analysis software can accurately assess the emotions of students engaged in interactive online learning and predict the effectiveness of online tutoring sessions. Image: “Researchers automatically tracked facial expressions related to anxiety, confusion, engagement, and frustration. This expression is correlated with frustration”. (Credit: Image courtesy of North … Continue reading

  • FET project

  • EC funded

  • Under FP7

  • Project details

    Project number: 258749
    Call (part) identifier: FP7-ICT-2009-5
    Project Start Date: 1st September 2010
    Project Duration: 48 month