ICT-enabled assistive systems based on non-invasive BCI Joseph Bremer European Commission, DG Information Society and Media E-Inclusion Unit (H3) BRAIN-COMPUTERINTERACTIONBRAIN-COMPUTERINTERACTION

AGENDA Introduction to BCI BCI and e-inclusion The ingredients of a successful project

The GOAL of BCI Communication User  Computer No muscles involved  Brain-Computer Interface (BCI) Cat

Targeted applications Gaming Computer accessibility Prosthesis/orthesis control

Dream vs. reality Dream BCI –Think about whatever you want –Whenever you want –Without recognition errors Physiological problems –No thought sensor –Partial brain knowledge –Noisy signals Solutions in the BCI community (reality) –Limited vocabulary –Limited recognition accuracy –Limited activation/usage periods

What is BCI?

Invasive vs non-invasive Invasive (msec) Multi unit activity ECoG EEG MEG NIRS fMRI Non invasive (msec) Non invasive (msec) hemoglobin (sec) BOLD (sec) invasive non invasive electrical magnetical metabolical

Trends in BCI research Grouping and networking Data-mining and Machine Learning Models and performance measures HCI aspects Multimodality

BCI and e-inclusion Target: people with disabilities Objectives: augment individual performance in areas such as –Access to ICT resources –Control of artificial limbs –Rehabilitation and training Research issues: integration of –Non-invasive Sensor technology –Self-adaptive systems –Assistive technologies Expected outcome: –Effective BCI based systems usable outside the laboratory –Common implementation platforms, RTD roadmaps One Integrated Project plus possible STREPS

What do we expect? Strong consortium –Multi-disciplinary –Critical mass of European research –Industrial participation Solution oriented Expected results –RTD roadmaps –Common implementation platforms –Dissemination and outreach actvities

Expected impact Wide-spread use of BCI-based assistive technologies Potential quantum leap in self- learning assistive solutions