The video shows in real-time the assembling of 16 active dry EEG electrodes (g.SAHARAelectrode) with g.GAMMAcap2. EEG data is recorded with the new 256 channel g.tec amplifier g.HIamp. This combination of technology leads to a pathbreaking assembling time for dry electrodes. Source: g.tec, 2012

In 2009, g.tec introduced the intendiX-SPELLER, the first commercially available brain-computer-interface (BCI) system for home use. Soon, g.tec will release the intendiX-SOCI (screen-overlay-control-interface), allowing people to control PC-applications such as computer games with a brain-computer interface.

Although this system will not be available until later in 2012, g.tec will host the first public demonstration of the pre-release version at CeBit-2012. Booth visitors can attend live demonstrations of intendiX-SOCI used to control one of the most popular computer games in the world. People can perform a wide variety of tasks using brain activity alone, including moving through the game world and performing tasks. intendiX-SOCI does not require any movement whatsoever, leaving the hands and voice free for other tasks.

This breakthrough in gaming uses a type of brain signal called the steady-state visual evoked potential, or SSVEP, which is picked up by a few electrodes mounted on the head. When people pay attention to a flickering item on a monitor a region in the back of the brain responds at the same frequency. g.tec's technology can detect this brain activity and use it to determine which item the user considers important. Therefore, people can send commands within the game just by paying attention to different items on the monitor. intendiX-SOCI can detect these different brain signals with an accuracy of 98%. Source: g.tec, 2012

intendiX® is designed to be installed and operated by caregivers or the patient's family at home. The system is based on visually evoked EEG potentials (VEP/P300) and enables the user to sequentially select characters from a keyboard-like matrix on the screen just by paying attention to the target for several seconds. The system uses the active EEG electrodes and g.MOBIlab+ or g.USBamp technology to acquire high-resolution EEG data. Important is that the g.GAMMAcap with the active electrodes can be assembled quickly without abrasion of the skin. This project received the Microsoft Innovation Award 2010. Source: g.tec, 2010.

intendiX® won the Microsoft Innovation Award 2010 because the system helps locked-in patients in communication and returns life quality to them and relatives. The system uses active EEG electrodes with g.USBamp or g.MOBIlab+ technology to analyze brain waves in real-time.

...writing TWITTER messages only by the power of thoughts. The system uses the Highspeed On-line Processing for Simulink Toolbox to extract BCI commands in real-time. For communication of the BCI with the Social Network an API was developed. The BCI system allows to login, to post tweets, to add followers and some further important functions for using Twitter. A user showed that by daily use over a whole month speed and accuracy could be improved.Source: g.tec, 2010.

Action potentials/spikes are recorded with needle electrodes from the hippocampus of rats. Certain neurons - the place cells - are only active if the rat is in a certain position of a rectangular box. There is one neuron shown in the video that is only firing if the rat is on the right border of the box. An image of the size of the place field is projected into the video so that you can see that the neuron gets only active if the rat goes into this field. If the firing frequency of the neuron is above 10 Hz than a LED is switched on (lower left border). This research was performed in the Presenccia EC project. The system uses headstages and g.USBamp together with Highspeed On-line Processing for Simulink. Source: g.tec and IDIBAPS, 2009.

A specially designed cursor box with 4 LEDs blinking with a certain frequency allows to control a robot. The box has a forward, backward, turn left and turn right command represented by a certain LED. If the user looks at one of the LEDs than the frequency of the LED is induced in the EEG data. FFT and Minimum Energy methods are used for parameter estimation and the classification is done with linear discriminant analysis. Real-time analysis is done with g.USBamp Highspeed On-line Processing for Simulink. Source: g.tec, 2009.

A BCI user is communicating with a flamenco dancer. This art video was produced by Behdad Rezazadeh and shows the new active electrode system g.GAMMAsys with g.LADYbirds and g.BUTTERfly electrodes. Source: g.tec, 2009.

A P300 based BCI system allows to control an avatar by thoughts. Mel Slater and Chris Christous from University College London used a Vicom video tracking system to capture motions of a real person. These motions were mapped onto an avatar. The BCI system provides icons for selecting the different pre-programmed motions to animate the virtual person. Source: g.tec, 2008.

A P300 based BCI system was interfaced with the social network Second Life. The BCI system is using Highspeed On-line Processing for Simulink with g.USBamp or g.MOBIlab+ technology to extract the commands in real-time. The BCI commands are transmitted into Second Life with an API. Second Life as BCI application is of special interest because patients appear like healthy persons. This project was also nominated for the ARS Electronica 2010. Source: g.tec, 2010.

g.tec integrates Brain-Computer Interface (BCI) technology into patients everyday life - intendiX® is designed to be installed and operated by caregivers or the patients family at home. The system is based on visually evoked EEG potentials (VEP/P300) and enables the user to sequentially select characters from a keyboard-like matrix on the screen just by paying attention to the target for several seconds.This art video was produced by Behdad Rezazadeh and is currently shown in the ARS Electronica museum in Linz. Intendix received the Microsoft Innovation Award 2010. Source: g.tec, 2009.

Physiological signals such as respiration and heart-rate are used to control a game in Virtual Reality. This work was performed under the EU-ICT project www.presenccia.org together with Franco Tecchia, SSSUP, Pisa and Mel Slater/Chris Groenegress from UCL, London. The Virtual Reality system was developed with eXtreme VR (XVR) and is running on g.VRsys. ECG and respiration are measured with g.MOBIlab+ that transmits via Bluetooth the data to a Simulink model. The Simulink model calculates the heart-rate and filters the respiration signal. A UDP transmission links the Simulink model to the VR system. The goal of the game is to lift the cubes with respiration to build a tower, but the heart-rate must stay below a certain threshold otherwise the tower is destroyed again and the game starts over. Source: g.tec, 2008. (more)

A P300 BCI system allows to control a smart home by thoughts. The interface extracts commands out of the EEG data that allow to select TV channels, to spell, to select music, to switch on the light and to go to specific positions in the house. This work was performed under the EU-ICT www.presenccia.org and SM4all projects. The VR system was designed by Chris Groenegress and Mel Slater from University Barcelona/UCL London. Source: g.tec, 2008.

The system is analyzing brain waves in order to select letters and words just by thinking. First the subject is trained with 5 characters within 5 minutes. Then the BCI system is calibrated on this EEG data and then the number of flashes per character can be reduced to increase the speed. This yielded to the world record of BCI communication: 800 ms per character. Research in this field was done within IST project www.Presenccia.org. This project received the Econovius Award. Source: g.tec, 2008.

This video was taken during the "Hybrid Artificial Intelligence Systems" conference in Salamanca, Spain, 2009. "I volunteered to this demonstration of a brain interface system using electric potential detection on the scalp. The system is commercialised by the Austrian company g.tec. As you can see it was not an easy task to concentrate enough to perform the wanted movements on the robot, however, with appropriate training, it becomes easier. As I am doing similar research to move prosthetic limbs instead of robots, I was, of course, the first one to volunteer for this experiment... I hope you enjoy it!"

A visitor is testing the g.tec SSVEP based robot control at CeBit 2009. He was trained within 5 minutes with the 4 flickering LEDs to calibrate the system. Then he was able to move the robot forward/backward/left and right by looking at one of the 4 cursor lights. The video shows that users are able with minimal training to operate such a system even in noise environments. Source: CeBit, 2009.

Results obtained of the BCI team of the University of Zaragoza, Spain with the decoding of the XYZ trajectory of the finger from EEG data. Source: Javier Minguez, 2010.

The video show the activation of the human cortex during different tasks in real-time. The system is using g.USBamp technology and BCI2000 with the Sigfried software package from Gerwin Schalk, Wadsworth Center, USA. The ECoG electrodes grid are placed directly onto the cortex in a surgical procedure and this gives a high quality recording with very high resolution. Just a few repetitions of a certain task are required to identify certain electrodes. Source: Gerwin Schalk, 2010.

This is the first video showing the control of an orthosis with a motor imagery based BCI system. Shortly before this video was made worldwide the first BCI experiment with 100 % accuracy in 160 selections was performed by Christoph Guger in 1999. Based on this technology the paralyzed patient learned to handle the BCI system in order to open and close the hand. So he was able to eat his first apple himself after the accident. Source: TU-Graz, 1999.

The video shows EEG and ECG recorded from a rat while moving around. The ECG is used to calculate the heart-rate and heart-rate variability parameters. The EEG is used to identify different brain rhythms. The video shows nicely the modulation of the theta rhythm with running speed. As soon as the rat moves faster the theta rhythm becomes larger. Source g.tec and IDIBAPS, 2009.

A BCI system and a Virtual Reality system were used to allow a paralyzed person to walk through the highly immersive environment with life-size avatars. This project was performed by Gert Pfurtschellers lab in Graz, Mel Slaters lab at UCL and g.tec. Source: TU-Graz, 2008.

g.tec is organizing regularly BCI workshops. The video shows the BCI usage and user training in Graz. Source: ORF, 2008.

Playing virtual instruments using BCI. The BCI orchestra used 2 P300 based and 2 SSVEP based BCI system to modulate the music controlled by a conductor. This video was produced at the FET Open conference of the EC. Source: UPF, 2009.

The first BCI system that was used for the control of Second Life by Dr. Ushiba. Source: Keio University, Japan, 2008.

Deniz Erdogmus, from Northeastern University, USA used a SSVEP based BCI system to control a robot with a video camera. The camera gives a live video stream to explore the environment. Source: Erdogmus, 2010.

A motor imagery BCI system is used to close and open a hand with functional electrical stimulation. Source: Paolo Perego, 2010.

The video shows the system developed within the scope of the EU STREP project SM4ALL. It enables the subject to control a smart home just by the power of thoughts. Source: Omrop Fryslân, 2010

Rupert Ortner a member of the g.tec staff is talking about Brain-Computer Interface (BCI) controlled prostheses. Source: MEDICA TV, 2010

Chris Pirillo, maintainer of Lockergnome (a network of blogs, online communities, etc.) is trying the BCI Spelling System intendix at the CeBIT. Source: Chris Pirillo (lockergnome), 2011

g.SAHARA is g.tec's new active dry EEG electrode system. This video shows the montage of the g.SAHARA electrodes for a P300 BCI experiment. Source: g.tec, 2011.

Great experiment from the Applied Signal Processing in Engineering and Neuroscience Lab (ASPEN Lab), Old Dominion University.They are using an SSVEP based BCI to control a robotic arm. For signal acquisition the g.USBamp amplifier and the new g.SAHARA active dry electrodes from g.tec were used. Source: Dr. Dean Krusienski, Old Dominion University, 2011

g.SAHARA artwork. Source: g.tec, 2011

Enhanced motor rehabilitation using BCI and VR feedback. Source: g.tec, 2011

In cooperation with Kyousuke Kamada, M.D., Ph.D., Naoto Kunii, M.D. Source: g.tec, 2011

Music performance with 'imagery instrument' by real-time categorisation of brain activities. They are using g.SAHARA dry electrodes.
Source: Tokyo University of the Arts, RIKEN BSI, Japan Science and Technology Agency, JST PRESTO, Japan, 2011

The video shows in real-time the assembling of 64 active EEG electrodes (g.LADYbirds) with g.GAMMAcap2. EEG data is recorded with the new 256 channel g.tec amplifier g.HIamp. This combination of technology leads to a pathbreaking assembling time for brain mapping applications. Source: g.tec 2012