Meet the Enobio controlled Robot!
Check out how Enobio remotely controls a robot using electrophysiological signals!
Presented at Fet'11 - The The European Future Technologies Conference and Exhibition
ENOBIO can detect P300
In a study done at Starlab, it has been shown that ENOBIO can detect the P300 Event Related Potential.
This has been achieved using the BCI2000 platform. The main challenge in using ENOBIO for this is that it is wireles, and that means that when a stimuli is presented, the EEG recorded in that instant is not perfectly synchronized with the trigger recorded in the data file recorded with the computer. What we have discovered is that the delay between the EEG and the trigger is about 40 ms, but most of all, this delay is constant and thus it does not affect the averaging, so the P300 wave can be recorded easily.
You can see the proof in the image attached.
New Enobio software version 2.5
The latest release of the Enobio software is now official. The software built 2.5 comes with a new firmware upgrade therefore the combination of the two makes the release Enobio 1.6 built 2.5. The new software can only be used with the latest Enobio devices, so if you bought your Enobio before September 2010, please keep using the built 2.4 software.
The basic improvement is the perfection of the algorithm to remove offset change artefacts from the recorded data.
TCP/IP - Identifying Network Issues
When streaming data over Enobio's TCP/IP connection I've noticed that when ever there is packet inteference (listed as error codes 1+2 in the file recording function) junk data gets transmitted.
This is in contrast to the Enobio graph / file recording functions which seem to use the last good value until the network restores itself.
Is there anyway to identify this junk data given the Enobio TCP/IP connection does not transmit each samples error code as with the file recorder.
Enobio sleep validation
We in the Interdisciplinary Center for Sleep Medicine of Charité compared the Enobio device with our Embla sleep recording system. Attached you can find some pictures of concurrent recording of Enobio and Embla for one night.
Enobio Integration into AsTeRICS
I am happy to announce that the Enobio system is now supported by the AsTeRICS framework for Assistive Technology rapid prototyping.
(see http://www.asterics.org).
The four channels of live data are available for further processing and feature extraction in other AsTeRICS plugins, like for example filtering or eye-blink detection.
We will start to integrate Enobio in various Assistive Technology use cases in the upcoming months.
best regards,
Chris Veigl.
ACTBIO pilot in real scenario Succesful!
ACTIBIO is a European Project in which several biometric modalities are integrated in an Ambient Intelligent infrastructure in order to authentify and monitor workers in their workplaces in a transparent manner. In other words, the workers have different features extracted by unobtrusive sensors and are authenticated without them needing to perform any specific action. The sensors are video (for face and gait), a sensing seat (anthropometric profile) and ENOBIO for electrophysiological signals. The perfomance achieved with ENOBIO is a 90% authentication rate with ECG and about 80% with EEG.
Enobio integration into AsTeRICS framework
Workshop in Malaysia
The ENOBIO team has recently visited the Advanced Medical and Dental Institute
of Universiti Sains Malaysia and more specifically the Behaviour Science & Brain Science (BSBS) Clusters after the invitation of the head of this cluster Mr. Jahangir Kamaldin. The initiative for the visit was a workshop on EEG and Enobio user training, but also to meet the research centre and talk about possible future collaboration.
First live demo of Enobio BCI
Enobio was successfully integrated with BCI 2000 for a live demostration at the recent ICT 2010 conference.
Enobio was also used to control the facial expression of a 3D live avatar. Features mapped include eye movement, facial muscle movement and heartbeat. Brain waves (EEG) were used to control the ambient light of the avatar scene.
