AIRWiki - User contributions [en]

IIT-Lab

2010-06-17T12:01:47Z

DavideCastellone:

== What is the IIT-Lab ==

AIRLab-IITLab is dedicated to activities founded by the Italian Institute of Technology.
The lab hosts activities related to Brain-Computer Interfaces (BCI) and Affective Computing.

=== Location ===
It is located in the Rimembranze di Lambrate building of the Department of Electronics and Information, [http://www.google.com/maps/ms?ie=UTF8&hl=en&msa=0&msid=101039811798485926206.00045c07a77c0f575377f&ll=45.481957,9.238375&spn=0.005363,0.008433&z=17 Via Rimembranze di Lambrate, 14, Milan].

'''The Lab has moved. It is now located at the first floor just over the Airlab, always in the Rimembranze di Lambrate building.'''

=== Access Rules ===
The access to AIRLab-IITLab is reserved to registered users. If you are student and want to register, you have to fill the AIRLab registration form (to be signed by your tutor) and the security form. The key of the lab is provided to registered users by the doorkeeper at the main entrance of the Lambrate building.

=== Booking ===

Please book the instrument you want to use by adding an entry to the table; the booking of an instrument implies the booking of the room. If you want to use a different instrument at the same time of an existing booking, please contact the other person involved and check that you can share the room; alternatively, you can ask the doorkeeper for an empty room in the building.


{| border="1"
! Day !! Time !! Person !! Instrument
|-
| Wednesday 26 April || 9:00 - 15:00 || [[User:DavideCastellone]], [[User:GiuseppeBroccio]] || EEG + Laptop
|-
| Thursday 17 June || 15:30 - 19:00 || [[User:DavideCastellone]] || EEG + Laptop
|-
|}

== Links ==

* [[Brain-Computer Interface]] page on this Wiki
* [[Affective Computing]] page on this Wiki
* [http://www.airlab.elet.polimi.it/index.php/airlab/visitor_info/airlab_iitlab AIRLab - IITLab]

Talk:Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI

2010-06-15T16:11:05Z

DavideCastellone: /* Stimulation grid design */

The following section will be added to the public page

----

=== Video output ===

==== VEP Flasher ====
In order to have a working VEP stimulation grid we wrote this piece of software, which we called ''VEP Flasher''. It can display different kinds of visual stimuli on a normal LCD or CRT screen with a precise frame rate, equal to the refresh rate of the screen.

Stimuli are represented on the screen by rectangles that change their colour over time accordingly with an input source, with an optional text inside. Input sources can be sine or square waves, constants or numeric vectors loaded from text files. More can be added, thanks to the flexible software architecture.

See also [[Media:VEP Flasher manual.pdf|VEP Flasher reference manual]].

Source package: ''to do''

Binary package for MS Windows: ''to do''

=== Stimulation grid design ===

[[Image:Vepflasher-16-color.png|thumb|Sample c-VEP grid]]
The screen displays 16 symbols, each with a different flashing pattern. Actually, we used the same sequence (a periodic binary pseudo-random white noise) for all symbols, each with a different time shift. We chose a sequence with a very low autocorrelation (except with a null lag) so that the 16 symbols would minimally interfere with each other.

The synchronisation pattern (a square wave whose rising front marks the beginning of every period) is located in the upper-right corner. It is hidden to the patient by putting a black carton patch between the corner of the screen and the patient. In front of the screen a light sensor, connected to the EEG amplifier, records this synchronisation signal. The classifier will use it to split every recording into periods.

Because the fovea is the most sensitive area of the retina, the object that is at the centre of the visual field will cause a stronger reaction in the visual cortex than the same object in another position. We will assume that the objects outside the scope of the fovea will cause little interference, and that therefore the cortical reaction to every stimulus will be the same, when time-shifted appropriately. The reaction to a periodic stimulus (the pseudo-white binary noise, which is a sequence 1 to 2 seconds long repeated several times) will be assumed as periodic as well. The problem of classifying a stimulus is then reduced to the easier problem of evaluating the lag between a periodic time series and a noisy, time-shifted version of it.

File:Vepflasher-16-color.png

2010-06-15T14:58:04Z

DavideCastellone: c-VEP grid example (colour version)

c-VEP grid example (colour version)

Talk:Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI

2010-06-15T14:51:47Z

DavideCastellone: New page: The following section will be added to the public page ---- === Video output === ==== VEP Flasher ==== In order to have a working VEP stimulation grid we wrote this piece of software, w...

File:VEP Flasher manual.pdf

2010-06-15T14:48:43Z

DavideCastellone: VEP Flasher reference manual v1.0

VEP Flasher reference manual v1.0

Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI

2010-06-15T14:28:10Z

DavideCastellone: /* Roadmap */

{{Project
|title=Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI
|coordinator=MatteoMatteucci
|tutor=MatteoMatteucci
|students=DavideCastellone;GiuseppeBroccio
|resarea=BioSignal Analysis
|restopic=Brain-Computer Interface
|start=2010/09/01
|end=2010/07/30
|status=Active
|level=Bs
|type=Thesis
}}

== '''Part 1: project profile''' ==

=== Project name ===

=== Project short description ===
Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications. This subset of VEP-BCI is usually called ''code-based VEP'', or c-VEP.

=== Dates ===
Start date: 2009/10/01


=== People involved ===
===== Project head(s) =====
[[User:MatteoMatteucci|prof. Matteo Matteucci]]


===== Students currently working on the project =====
[[User:GiuseppeBroccio|Giuseppe Broccio]]

[[User:DavideCastellone|Davide Castellone]]

=== Laboratory work and risk analysis ===
Several EEG sessions will be recorded. Data acquisition is performed at the [[IIT-Lab]]. All risks are those related to the use of video terminals and EEG devices.

'''WARNING''' Some people may experience epileptic seizures when viewing flashing lights or patterns. Even people who have never had any seizures may nonetheless have an undetected epileptic condition.

* 2010-04-12: First data acquisition session
* 2010-04-16: Second and third session
* 2010-05-26: Fourth and fifth session
* 2010-06-07: Sixth and seventh session
* 2010-06-11: Eigth session (coloured flashers)

==== The protocol briefly explained ====
EEG is recorded at points Fz, Cz, Pz, O1 and O2 while the patient fixates a particular symbol on the flashing pattern (30 to 90 seconds). This is repeated several times with different symbols, frame rates and sequence length. Any recording can be used as a training for the classifier. Classification is done by comparing two different recordings (provided that they were recorded with the same flashing pattern and frame rate).

== '''Part 2: project description''' ==
What this project means to demonstrate is the possibility to extend the SSVEP paradigm to multiple visual signals (i.e. blinking lights) using a numeric encoding, in a way similar to what has already been attempted with ''noise-tagging''.

=== Libraries used ===
* [http://www.libsdl.org/ Simple Directmedia Layer]
* [http://www.opengl.org/ OpenGL]
* [http://www.freetype.org/ FreeType]

=== Roadmap ===
# Video output
## Specification - ''done''
## Design - ''done''
## Implementation - ''done''
## Testing - ''done''
## Deployment - ''done''
# c-VEP
## Specification/Design/Implementation - ''done''
## Data Acquisition - ''in progress''
## Data Analysis - ''in progress''
## Conclusions



=== Bibliography ===
* J.R. Wolpaw et al., ''Brain-computer interfaces for communication and control''
* Erich E. Sutter., ''The brain response interface: communication through visually-induced electrical brain responses''
* J. Farquhar, J. Blankespoor, R. Velk, P. Desain, ''Towards a noise tagging auditory BCI-Paradigm'', in ''4th International BCI Workshop and Training Course 2008''

Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI

2010-06-15T14:18:33Z

DavideCastellone: /* Libraries used */

{{Project
|title=Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI
|coordinator=MatteoMatteucci
|tutor=MatteoMatteucci
|students=DavideCastellone;GiuseppeBroccio
|resarea=BioSignal Analysis
|restopic=Brain-Computer Interface
|start=2010/09/01
|end=2010/07/30
|status=Active
|level=Bs
|type=Thesis
}}

== '''Part 1: project profile''' ==

=== Project name ===

=== Project short description ===
Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications. This subset of VEP-BCI is usually called ''code-based VEP'', or c-VEP.

=== Dates ===
Start date: 2009/10/01


=== People involved ===
===== Project head(s) =====
[[User:MatteoMatteucci|prof. Matteo Matteucci]]


===== Students currently working on the project =====
[[User:GiuseppeBroccio|Giuseppe Broccio]]

[[User:DavideCastellone|Davide Castellone]]

=== Laboratory work and risk analysis ===
Several EEG sessions will be recorded. Data acquisition is performed at the [[IIT-Lab]]. All risks are those related to the use of video terminals and EEG devices.

'''WARNING''' Some people may experience epileptic seizures when viewing flashing lights or patterns. Even people who have never had any seizures may nonetheless have an undetected epileptic condition.

* 2010-04-12: First data acquisition session
* 2010-04-16: Second and third session
* 2010-05-26: Fourth and fifth session
* 2010-06-07: Sixth and seventh session
* 2010-06-11: Eigth session (coloured flashers)

==== The protocol briefly explained ====
EEG is recorded at points Fz, Cz, Pz, O1 and O2 while the patient fixates a particular symbol on the flashing pattern (30 to 90 seconds). This is repeated several times with different symbols, frame rates and sequence length. Any recording can be used as a training for the classifier. Classification is done by comparing two different recordings (provided that they were recorded with the same flashing pattern and frame rate).

== '''Part 2: project description''' ==
What this project means to demonstrate is the possibility to extend the SSVEP paradigm to multiple visual signals (i.e. blinking lights) using a numeric encoding, in a way similar to what has already been attempted with ''noise-tagging''.

=== Libraries used ===
* [http://www.libsdl.org/ Simple Directmedia Layer]
* [http://www.opengl.org/ OpenGL]
* [http://www.freetype.org/ FreeType]

=== Roadmap ===
# Video output
## Specification - ''done''
## Design - ''done''
## Implementation - ''done''
## Testing - ''done''
## Deployment - ''done''
# Simple c-VEP
## Specification/Design/Implementation - ''in progress''
## Data Acquisition - ''in progress''
## Data Analysis - ''in progress''
## Conclusions
# ''(to be defined)''



=== Bibliography ===
* J.R. Wolpaw et al., ''Brain-computer interfaces for communication and control''
* Erich E. Sutter., ''The brain response interface: communication through visually-induced electrical brain responses''
* J. Farquhar, J. Blankespoor, R. Velk, P. Desain, ''Towards a noise tagging auditory BCI-Paradigm'', in ''4th International BCI Workshop and Training Course 2008''

Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI

2010-06-15T14:15:53Z

DavideCastellone: /* Project short description */

{{Project
|title=Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI
|coordinator=MatteoMatteucci
|tutor=MatteoMatteucci
|students=DavideCastellone;GiuseppeBroccio
|resarea=BioSignal Analysis
|restopic=Brain-Computer Interface
|start=2010/09/01
|end=2010/07/30
|status=Active
|level=Bs
|type=Thesis
}}

== '''Part 1: project profile''' ==

=== Project name ===

=== Project short description ===
Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications. This subset of VEP-BCI is usually called ''code-based VEP'', or c-VEP.

=== Dates ===
Start date: 2009/10/01


=== People involved ===
===== Project head(s) =====
[[User:MatteoMatteucci|prof. Matteo Matteucci]]


===== Students currently working on the project =====
[[User:GiuseppeBroccio|Giuseppe Broccio]]

[[User:DavideCastellone|Davide Castellone]]

=== Laboratory work and risk analysis ===
Several EEG sessions will be recorded. Data acquisition is performed at the [[IIT-Lab]]. All risks are those related to the use of video terminals and EEG devices.

'''WARNING''' Some people may experience epileptic seizures when viewing flashing lights or patterns. Even people who have never had any seizures may nonetheless have an undetected epileptic condition.

* 2010-04-12: First data acquisition session
* 2010-04-16: Second and third session
* 2010-05-26: Fourth and fifth session
* 2010-06-07: Sixth and seventh session
* 2010-06-11: Eigth session (coloured flashers)

==== The protocol briefly explained ====
EEG is recorded at points Fz, Cz, Pz, O1 and O2 while the patient fixates a particular symbol on the flashing pattern (30 to 90 seconds). This is repeated several times with different symbols, frame rates and sequence length. Any recording can be used as a training for the classifier. Classification is done by comparing two different recordings (provided that they were recorded with the same flashing pattern and frame rate).

== '''Part 2: project description''' ==
What this project means to demonstrate is the possibility to extend the SSVEP paradigm to multiple visual signals (i.e. blinking lights) using a numeric encoding, in a way similar to what has already been attempted with ''noise-tagging''.

=== Libraries used ===
* [http://www.libsdl.org/ Simple Directmedia Layer]
* [http://www.opengl.org/ OpenGL]

=== Roadmap ===
# Video output
## Specification - ''done''
## Design - ''done''
## Implementation - ''done''
## Testing - ''done''
## Deployment - ''done''
# Simple c-VEP
## Specification/Design/Implementation - ''in progress''
## Data Acquisition - ''in progress''
## Data Analysis - ''in progress''
## Conclusions
# ''(to be defined)''



=== Bibliography ===
* J.R. Wolpaw et al., ''Brain-computer interfaces for communication and control''
* Erich E. Sutter., ''The brain response interface: communication through visually-induced electrical brain responses''
* J. Farquhar, J. Blankespoor, R. Velk, P. Desain, ''Towards a noise tagging auditory BCI-Paradigm'', in ''4th International BCI Workshop and Training Course 2008''

Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI

2010-06-15T14:13:57Z

DavideCastellone: /* Laboratory work and risk analysis */

{{Project
|title=Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI
|coordinator=MatteoMatteucci
|tutor=MatteoMatteucci
|students=DavideCastellone;GiuseppeBroccio
|resarea=BioSignal Analysis
|restopic=Brain-Computer Interface
|start=2010/09/01
|end=2010/07/30
|status=Active
|level=Bs
|type=Thesis
}}

== '''Part 1: project profile''' ==

=== Project name ===

=== Project short description ===
Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications.

=== Dates ===
Start date: 2009/10/01


=== People involved ===
===== Project head(s) =====
[[User:MatteoMatteucci|prof. Matteo Matteucci]]


===== Students currently working on the project =====
[[User:GiuseppeBroccio|Giuseppe Broccio]]

[[User:DavideCastellone|Davide Castellone]]

=== Laboratory work and risk analysis ===
Several EEG sessions will be recorded. Data acquisition is performed at the [[IIT-Lab]]. All risks are those related to the use of video terminals and EEG devices.

'''WARNING''' Some people may experience epileptic seizures when viewing flashing lights or patterns. Even people who have never had any seizures may nonetheless have an undetected epileptic condition.

* 2010-04-12: First data acquisition session
* 2010-04-16: Second and third session
* 2010-05-26: Fourth and fifth session
* 2010-06-07: Sixth and seventh session
* 2010-06-11: Eigth session (coloured flashers)

==== The protocol briefly explained ====
EEG is recorded at points Fz, Cz, Pz, O1 and O2 while the patient fixates a particular symbol on the flashing pattern (30 to 90 seconds). This is repeated several times with different symbols, frame rates and sequence length. Any recording can be used as a training for the classifier. Classification is done by comparing two different recordings (provided that they were recorded with the same flashing pattern and frame rate).

== '''Part 2: project description''' ==
What this project means to demonstrate is the possibility to extend the SSVEP paradigm to multiple visual signals (i.e. blinking lights) using a numeric encoding, in a way similar to what has already been attempted with ''noise-tagging''.

=== Libraries used ===
* [http://www.libsdl.org/ Simple Directmedia Layer]
* [http://www.opengl.org/ OpenGL]

=== Roadmap ===
# Video output
## Specification - ''done''
## Design - ''done''
## Implementation - ''done''
## Testing - ''done''
## Deployment - ''done''
# Simple c-VEP
## Specification/Design/Implementation - ''in progress''
## Data Acquisition - ''in progress''
## Data Analysis - ''in progress''
## Conclusions
# ''(to be defined)''



=== Bibliography ===
* J.R. Wolpaw et al., ''Brain-computer interfaces for communication and control''
* Erich E. Sutter., ''The brain response interface: communication through visually-induced electrical brain responses''
* J. Farquhar, J. Blankespoor, R. Velk, P. Desain, ''Towards a noise tagging auditory BCI-Paradigm'', in ''4th International BCI Workshop and Training Course 2008''

IIT-Lab

2010-05-25T12:57:33Z

DavideCastellone:

== What is the IIT-Lab ==

AIRLab-IITLab is dedicated to activities founded by the Italian Institute of Technology.
The lab hosts activities related to Brain-Computer Interfaces (BCI) and Affective Computing.

=== Location ===
It is located in the Rimembranze di Lambrate building of the Department of Electronics and Information, [http://www.google.com/maps/ms?ie=UTF8&hl=en&msa=0&msid=101039811798485926206.00045c07a77c0f575377f&ll=45.481957,9.238375&spn=0.005363,0.008433&z=17 Via Rimembranze di Lambrate, 14, Milan].

'''The Lab has moved. It is now located at the first floor just over the Airlab, always in the Rimembranze di Lambrate building.'''

=== Access Rules ===
The access to AIRLab-IITLab is reserved to registered users. If you are student and want to register, you have to fill the AIRLab registration form (to be signed by your tutor) and the security form. The key of the lab is provided to registered users by the doorkeeper at the main entrance of the Lambrate building.

=== Booking ===

Please book the instrument you want to use by adding an entry to the table; the booking of an instrument implies the booking of the room. If you want to use a different instrument at the same time of an existing booking, please contact the other person involved and check that you can share the room; alternatively, you can ask the doorkeeper for an empty room in the building.


{| border="1"
! Day !! Time !! Person !! Instrument
|-
| Wednesday 26 April || 9:00 - 15:00 || [[User:DavideCastellone]], [[User:GiuseppeBroccio]] || EEG + Laptop
|-
|}

== Links ==

* [[Brain-Computer Interface]] page on this Wiki
* [[Affective Computing]] page on this Wiki
* [http://www.airlab.elet.polimi.it/index.php/airlab/visitor_info/airlab_iitlab AIRLab - IITLab]

Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI

2010-04-16T17:14:04Z

DavideCastellone:

== '''Part 1: project profile''' ==

=== Project name ===
Aperiodic visual stimulation in a VEP-based BCI

=== Project short description ===
Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications.

=== Dates ===
Start date: 2009/10/01


=== People involved ===
===== Project head(s) =====
[[User:MatteoMatteucci|prof. Matteo Matteucci]]


===== Students currently working on the project =====
[[User:GiuseppeBroccio|Giuseppe Broccio]]

[[User:DavideCastellone|Davide Castellone]]

=== Laboratory work and risk analysis ===
''(work in progress)''
Several EEG sessions will be recorded. Data acquisition is performed at the [[IIT-Lab]]. All risks are those related to the use of video terminals and EEG devices.

* 2010/04/12: First data acquisition session
* 2010/04/16: Second session

== '''Part 2: project description''' ==
What this project means to demonstrate is the possibility to extend the SSVEP paradigm to multiple visual signals (i.e. blinking lights) using a numeric encoding, in a way similar to what has already been attempted with ''noise-tagging''.

=== Libraries used ===
* [http://www.libsdl.org/ Simple Directmedia Layer]
* [http://www.opengl.org/ OpenGL]

=== Roadmap ===
# Video output
## Specification - ''done''
## Design - ''done''
## Implementation - ''done''
## Testing - ''done''
## Deployment - ''done''
# Simple c-VEP
## Specification/Design/Implementation - ''in progress''
## Data Acquisition - ''in progress''
## Data Analysis - ''in progress''
## Conclusions
# ''(to be defined)''



=== Bibliography ===
* J.R. Wolpaw et al., ''Brain-computer interfaces for communication and control''
* Erich E. Sutter., ''The brain response interface: communication through visually-induced electrical brain responses''
* J. Farquhar, J. Blankespoor, R. Velk, P. Desain, ''Towards a noise tagging auditory BCI-Paradigm'', in ''4th International BCI Workshop and Training Course 2008''

IIT-Lab

2010-04-15T18:24:39Z

DavideCastellone: /* Booking */

== What is the IIT-Lab ==

AIRLab-IITLab is dedicated to activities founded by the Italian Institute of Technology.
The lab hosts activities related to Brain-Computer Interfaces (BCI) and Affective Computing.

=== Location ===
It is located in the Rimembranze di Lambrate building of the Department of Electronics and Information, [http://www.google.com/maps/ms?ie=UTF8&hl=en&msa=0&msid=101039811798485926206.00045c07a77c0f575377f&ll=45.481957,9.238375&spn=0.005363,0.008433&z=17 Via Rimembranze di Lambrate, 14, Milan].

'''The Lab has moved. It is now located at the first floor just over the Airlab, always in the Rimembranze di Lambrate building.'''

=== Access Rules ===
The access to AIRLab-IITLab is reserved to registered users. If you are student and want to register, you have to fill the AIRLab registration form (to be signed by your tutor) and the security form. The key of the lab is provided to registered users by the doorkeeper at the main entrance of the Lambrate building.

=== Booking ===

Please book the instrument you want to use by adding an entry to the table; the booking of an instrument implies the booking of the room. If you want to use a different instrument at the same time of an existing booking, please contact the other person involved and check that you can share the room; alternatively, you can ask the doorkeeper for an empty room in the building.


{| border="1"
! Day !! Time !! Person !! Instrument
|-
| friday 11 December || 12:00-19:00 || [[User:StefanoMorciano]] || EEG + Laptop
|-
| friday 18 December || 12:00-19:00 || [[User:StefanoMorciano]] || EEG + Laptop
|-
| Monday 12 April || 10:00-15:00 || [[User:DavideCastellone]], [[User:GiuseppeBroccio]] || EEG + Laptop
|-
| Friday 16 April || 10:00-17:00 || [[User:DavideCastellone]], [[User:GiuseppeBroccio]] || EEG + Laptop
|-
|}

== Links ==

* [[Brain-Computer Interface]] page on this Wiki
* [[Affective Computing]] page on this Wiki
* [http://www.airlab.elet.polimi.it/index.php/airlab/visitor_info/airlab_iitlab AIRLab - IITLab]

Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI

2010-04-11T10:18:05Z

DavideCastellone: /* Roadmap */

== '''Part 1: project profile''' ==

=== Project name ===
Aperiodic visual stimulation in a VEP-based BCI

=== Project short description ===
Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications.

=== Dates ===
Start date: 2009/10/01


=== People involved ===
===== Project head(s) =====
[[User:MatteoMatteucci|prof. Matteo Matteucci]]


===== Students currently working on the project =====
[[User:GiuseppeBroccio|Giuseppe Broccio]]

[[User:DavideCastellone|Davide Castellone]]

=== Laboratory work and risk analysis ===
''(work in progress)''
Several EEG sessions will be recorded. Data acquisition is performed at the [[IIT-Lab]]. All risks are those related to the use of video terminals and EEG devices.

== '''Part 2: project description''' ==
What this project means to demonstrate is the possibility to extend the SSVEP paradigm to multiple visual signals (i.e. blinking lights) using a numeric encoding, in a way similar to what has already been attempted with ''noise-tagging''.

=== Libraries used ===
* [http://www.libsdl.org/ Simple Directmedia Layer]
* [http://www.opengl.org/ OpenGL]

=== Roadmap ===
# Video output
## Specification - ''done''
## Design - ''done''
## Implementation - ''done''
## Testing - ''in progress''
## Deployment - ''next''
# Simple t-VEP
## Specification/Design/Implementation - ''in progress''
## Data Acquisition - next
## Data Analysis
## Conclusions
# ''(to be defined)''



=== Bibliography ===
* J.R. Wolpaw et al., ''Brain-computer interfaces for communication and control''
* Erich E. Sutter., ''The brain response interface: communication through visually-induced electrical brain responses''
* J. Farquhar, J. Blankespoor, R. Velk, P. Desain, ''Towards a noise tagging auditory BCI-Paradigm'', in ''4th International BCI Workshop and Training Course 2008''

Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI

2010-04-11T10:17:16Z

DavideCastellone: /* Laboratory work and risk analysis */

== '''Part 1: project profile''' ==

=== Project name ===
Aperiodic visual stimulation in a VEP-based BCI

=== Project short description ===
Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications.

=== Dates ===
Start date: 2009/10/01


=== People involved ===
===== Project head(s) =====
[[User:MatteoMatteucci|prof. Matteo Matteucci]]


===== Students currently working on the project =====
[[User:GiuseppeBroccio|Giuseppe Broccio]]

[[User:DavideCastellone|Davide Castellone]]

=== Laboratory work and risk analysis ===
''(work in progress)''
Several EEG sessions will be recorded. Data acquisition is performed at the [[IIT-Lab]]. All risks are those related to the use of video terminals and EEG devices.

== '''Part 2: project description''' ==
What this project means to demonstrate is the possibility to extend the SSVEP paradigm to multiple visual signals (i.e. blinking lights) using a numeric encoding, in a way similar to what has already been attempted with ''noise-tagging''.

=== Libraries used ===
* [http://www.libsdl.org/ Simple Directmedia Layer]
* [http://www.opengl.org/ OpenGL]

=== Roadmap ===
# Video output
## Specification - ''done''
## Design - ''done''
## Implementation - ''done''
## Testing - ''in progress''
## Deployment - ''next''
# Simple t-VEP
## Specification/Design/Implementation - ''in progress''
## Data Acquisition - next
## Data Analysis
## Conclusions



=== Bibliography ===
* J.R. Wolpaw et al., ''Brain-computer interfaces for communication and control''
* Erich E. Sutter., ''The brain response interface: communication through visually-induced electrical brain responses''
* J. Farquhar, J. Blankespoor, R. Velk, P. Desain, ''Towards a noise tagging auditory BCI-Paradigm'', in ''4th International BCI Workshop and Training Course 2008''

Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI

2010-04-11T10:16:15Z

DavideCastellone: /* Libraries used */

== '''Part 1: project profile''' ==

=== Project name ===
Aperiodic visual stimulation in a VEP-based BCI

=== Project short description ===
Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications.

=== Dates ===
Start date: 2009/10/01


=== People involved ===
===== Project head(s) =====
[[User:MatteoMatteucci|prof. Matteo Matteucci]]


===== Students currently working on the project =====
[[User:GiuseppeBroccio|Giuseppe Broccio]]

[[User:DavideCastellone|Davide Castellone]]

=== Laboratory work and risk analysis ===
''(work in progress)''
Several EEG sessions will be recorded. Data acquisition is performed at the [[IIT-Lab]]. All risks are those related to the use of video terminals.

== '''Part 2: project description''' ==
What this project means to demonstrate is the possibility to extend the SSVEP paradigm to multiple visual signals (i.e. blinking lights) using a numeric encoding, in a way similar to what has already been attempted with ''noise-tagging''.

=== Libraries used ===
* [http://www.libsdl.org/ Simple Directmedia Layer]
* [http://www.opengl.org/ OpenGL]

=== Roadmap ===
# Video output
## Specification - ''done''
## Design - ''done''
## Implementation - ''done''
## Testing - ''in progress''
## Deployment - ''next''
# Simple t-VEP
## Specification/Design/Implementation - ''in progress''
## Data Acquisition - next
## Data Analysis
## Conclusions



=== Bibliography ===
* J.R. Wolpaw et al., ''Brain-computer interfaces for communication and control''
* Erich E. Sutter., ''The brain response interface: communication through visually-induced electrical brain responses''
* J. Farquhar, J. Blankespoor, R. Velk, P. Desain, ''Towards a noise tagging auditory BCI-Paradigm'', in ''4th International BCI Workshop and Training Course 2008''

Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI

2010-04-11T10:15:08Z

DavideCastellone: /* Libraries used */

== '''Part 1: project profile''' ==

=== Project name ===
Aperiodic visual stimulation in a VEP-based BCI

=== Project short description ===
Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications.

=== Dates ===
Start date: 2009/10/01


=== People involved ===
===== Project head(s) =====
[[User:MatteoMatteucci|prof. Matteo Matteucci]]


===== Students currently working on the project =====
[[User:GiuseppeBroccio|Giuseppe Broccio]]

[[User:DavideCastellone|Davide Castellone]]

=== Laboratory work and risk analysis ===
''(work in progress)''
Several EEG sessions will be recorded. Data acquisition is performed at the [[IIT-Lab]]. All risks are those related to the use of video terminals.

== '''Part 2: project description''' ==
What this project means to demonstrate is the possibility to extend the SSVEP paradigm to multiple visual signals (i.e. blinking lights) using a numeric encoding, in a way similar to what has already been attempted with ''noise-tagging''.

=== Libraries used ===
[http://www.libsdl.org/ Simple Directmedia Layer]
[http://www.opengl.org/ OpenGL]

=== Roadmap ===
# Video output
## Specification - ''done''
## Design - ''done''
## Implementation - ''done''
## Testing - ''in progress''
## Deployment - ''next''
# Simple t-VEP
## Specification/Design/Implementation - ''in progress''
## Data Acquisition - next
## Data Analysis
## Conclusions



=== Bibliography ===
* J.R. Wolpaw et al., ''Brain-computer interfaces for communication and control''
* Erich E. Sutter., ''The brain response interface: communication through visually-induced electrical brain responses''
* J. Farquhar, J. Blankespoor, R. Velk, P. Desain, ''Towards a noise tagging auditory BCI-Paradigm'', in ''4th International BCI Workshop and Training Course 2008''

IIT-Lab

2010-04-11T10:04:14Z

DavideCastellone: /* Booking */

== What is the IIT-Lab ==

AIRLab-IITLab is dedicated to activities founded by the Italian Institute of Technology.
The lab hosts activities related to Brain-Computer Interfaces (BCI) and Affective Computing.

=== Location ===
It is located in the Rimembranze di Lambrate building of the Department of Electronics and Information, [http://www.google.com/maps/ms?ie=UTF8&hl=en&msa=0&msid=101039811798485926206.00045c07a77c0f575377f&ll=45.481957,9.238375&spn=0.005363,0.008433&z=17 Via Rimembranze di Lambrate, 14, Milan].

'''The Lab has moved. It is now located at the first floor just over the Airlab, always in the Rimembranze di Lambrate building.'''

=== Access Rules ===
The access to AIRLab-IITLab is reserved to registered users. If you are student and want to register, you have to fill the AIRLab registration form (to be signed by your tutor) and the security form. The key of the lab is provided to registered users by the doorkeeper at the main entrance of the Lambrate building.

=== Booking ===

Please book the instrument you want to use by adding an entry to the table; the booking of an instrument implies the booking of the room. If you want to use a different instrument at the same time of an existing booking, please contact the other person involved and check that you can share the room; alternatively, you can ask the doorkeeper for an empty room in the building.


{| border="1"
! Day !! Time !! Person !! Instrument
|-
| friday 11 December || 12:00-19:00 || [[User:StefanoMorciano]] || EEG + Laptop
|-
| friday 18 December || 12:00-19:00 || [[User:StefanoMorciano]] || EEG + Laptop
|-
| monday 12 april || 10:00-15:00 || [[User:DavideCastellone]], [[User:GiuseppeBroccio]] || EEG + Laptop
|-
|}

== Links ==

* [[Brain-Computer Interface]] page on this Wiki
* [[Affective Computing]] page on this Wiki
* [http://www.airlab.elet.polimi.it/index.php/airlab/visitor_info/airlab_iitlab AIRLab - IITLab]

Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI

2010-03-17T16:16:44Z

DavideCastellone:

== '''Part 1: project profile''' ==

=== Project name ===
Aperiodic visual stimulation in a VEP-based BCI

=== Project short description ===
Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications.

=== Dates ===
Start date: 2009/10/01


=== People involved ===
===== Project head(s) =====
[[User:MatteoMatteucci|prof. Matteo Matteucci]]


===== Students currently working on the project =====
[[User:GiuseppeBroccio|Giuseppe Broccio]]

[[User:DavideCastellone|Davide Castellone]]

=== Laboratory work and risk analysis ===
''(work in progress)''
Several EEG sessions will be recorded. Data acquisition is performed at the [[IIT-Lab]]. All risks are those related to the use of video terminals.

== '''Part 2: project description''' ==
What this project means to demonstrate is the possibility to extend the SSVEP paradigm to multiple visual signals (i.e. blinking lights) using a numeric encoding, in a way similar to what has already been attempted with ''noise-tagging''.

=== Libraries used ===
[http://www.libsdl.org/ Simple Directmedia Layer]



=== Bibliography ===
* J.R. Wolpaw et al., ''Brain-computer interfaces for communication and control''
* Erich E. Sutter., ''The brain response interface: communication through visually-induced electrical brain responses''
* J. Farquhar, J. Blankespoor, R. Velk, P. Desain, ''Towards a noise tagging auditory BCI-Paradigm'', in ''4th International BCI Workshop and Training Course 2008''

Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI

2009-11-11T23:08:10Z

DavideCastellone:

== '''Part 1: project profile''' ==

=== Project name ===
Aperiodic visual stimulation in a VEP-based BCI

=== Project short description ===
Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications.

=== Dates ===
Start date: 2009/10/01


=== People involved ===
===== Project head(s) =====
*[[User:MatteoMatteucci|Matteo Matteucci]]

*[[User:BernardoDalSeno|Bernardo Dal Seno]]


===== Students currently working on the project =====
*[[User:GiuseppeBroccio|Giuseppe Broccio]]

*[[User:DavideCastellone|Davide Castellone]]

=== Laboratory work and risk analysis ===
''(work in progress)''
Several EEG sessions will be recorded. Data acquisition is performed at the [[IIT-Lab]]. All risks are those related to the use of video terminals and electrical devices.

== '''Part 2: project description''' ==
What this project means to demonstrate is the possibility to extend the SSVEP paradigm to multiple visual signals (i.e. blinking lights) using a numeric encoding, in a way similar to what has already been attempted with ''noise-tagging''.

=== Libraries used ===
[http://www.libsdl.org/ Simple Directmedia Layer]
[http://www.opengl.org/ OpenGL]

=== Bibliography ===
* J.R. Wolpaw et al., ''Brain-computer interfaces for communication and control''
* Erich E. Sutter., ''The brain response interface: communication through visually-induced electrical brain responses''
* J. Farquhar, J. Blankespoor, R. Velk, P. Desain, ''Towards a noise tagging auditory BCI-Paradigm'', in ''4th International BCI Workshop and Training Course 2008''

User:DavideCastellone

2009-10-27T18:55:13Z

DavideCastellone:

{{Student
|category=Student
|firstname=Davide
|lastname=Castellone
|photo=Foto.jpg
|email=kastel88@email.it
|projectpage=Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI
|advisor=MatteoMatteucci;
|status=active
}}

Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI

2009-10-27T18:41:52Z

DavideCastellone: New page: == '''Part 1: project profile''' == === Project name === Aperiodic visual stimulation in a VEP-based BCI === Project short description === Visual-evoked potentials (VEPs) are a possible ...

== '''Part 1: project profile''' ==

=== Project name ===
Aperiodic visual stimulation in a VEP-based BCI

=== Project short description ===
Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications.

=== Dates ===
Start date: 2009/10/01


=== People involved ===
===== Project head(s) =====
*[[User:MatteoMatteucci|Matteo Matteucci]]

*[[User:BernardoDalSeno|Bernardo Dal Seno]]


===== Students currently working on the project =====
*[[User:GiuseppeBroccio|Giuseppe Broccio]]

*[[User:DavideCastellone|Davide Castellone]]

=== Laboratory work and risk analysis ===
''(work in progress)''
Several EEG sessions will be recorded. Data acquisition is performed at the [[IIT-Lab]]. All risks are those related to the use of video terminals.

== '''Part 2: project description''' ==
What this project means to demonstrate is the possibility to extend the SSVEP paradigm to multiple visual signals (i.e. blinking lights) using a numeric encoding, in a way similar to what has already been attempted with ''noise-tagging''.

=== Libraries used ===
[http://www.libsdl.org/ Simple Directmedia Layer]

=== Bibliography ===
* J.R. Wolpaw et al., ''Brain-computer interfaces for communication and control''
* Erich E. Sutter., ''The brain response interface: communication through visually-induced electrical brain responses''
* J. Farquhar, J. Blankespoor, R. Velk, P. Desain, ''Towards a noise tagging auditory BCI-Paradigm'', in ''4th International BCI Workshop and Training Course 2008''

Projects

2009-10-27T18:40:27Z

DavideCastellone: /* Brain-Computer Interface */

''This page is a repository of links to the pages describing the '''projects''' we are currently working on at AIRLab.
See the list of our finished projects on the [[Finished Projects]] page.''

== Ongoing projects ==
''by research area (areas are defined in the [[Main Page]]); for each project a name and a link to its AIRWiki page is given''

=== [[Agents, Multiagent Systems, Agencies]] ===
----
===== [[Strategic Robot Patrolling]] =====

===== [[Evolutionary game theory for biology]] =====
===== [[Game theoretic analysis of electric power]] =====
===== [[Algorithms for computing equilibria]] =====
===== [[Multiagent cooperation|Multiagent cooperating system]] =====
===== [[Planning in Ambient Intelligence scenarios]] =====
===== [[Real-Time Strategy Games]] =====

=== [[BioSignal Analysis]] ===
----
===== [[Affective Computing]] =====
* [[Relatioship between Cognition and Emotion in Rehabilitation Robotics]]
* [[Driving companions]]
* [[Emotion from Interaction]]
* [[Wireless Affective Devices]]
* [[Affective Robot force sensor]]
* [[Affective VideoGames]]

===== [[Brain-Computer Interface]] =====
* [[BCI based on Motor Imagery]]
** [[Predictive BCI Speller based on Motor Imagery]] (Master thesis, Tiziano D'Albis)
** [[Feature Selection and Extraction for a BCI based on motor imagery]] (Master thesis, Francesco Amenta)
** [[Ocular Artifacts Filter implementation for a BCI based on motor imagery]] (First Level thesis, Fabio Beltramini)
** [[Online automatic tuning of the number of repetitions in a P300-based BCI]] (First Level thesis, Siegfried Cattaneo)
* [[Graphical user interface for an autonomous wheelchair]] (First Level thesis, Antonio Tripodi and Eleonora Ciceri)
* [[Mu and beta rhythm-based BCI]]
* [[Reproduction of an algorithm for the recognition of error potentials]]
* [[Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI]]

===== [[Automatic Detection Of Sleep Stages]] =====
* [[Sleep Staging with HMM]]

===== [[Analysis of the Olfactory Signal]] =====
* [[Lung Cancer Detection by an Electronic Nose]]
* [[HE-KNOWS - An electronic nose]]

===== [[Classification of EMG signals]] =====

=== [[Computer Vision and Image Analysis]] ===
----
* [[Automated extraction of laser streaks and range profiles]]
* [[Data collection for mutual calibration|Data collection for laser-rangefinder and camera calibration]]
* [[Image retargeting by k-seam removal]]
* [[Particle filter for object tracking]]
* [[Template based paper like reconstruction when the edges are straight]]
* [[Wii Remote headtracking and active projector]]
* [[Vision module for the Milan Robocup Team]]
* [[Long Exposure Images for Resource-constrained video surveillance]]
* [[NonPhotorealistic rendering of speed lines]].
* [[Restoration of blurred objects using cues from the alpha matte]]
* [[Analyzing Traffic Speed From a Single Night Image - Light Streaks Detection]]
* [[Plate detection algorithm]]
* [[A vision-based 3D input device for space curves]]
* [[Correlation-based 3D reconstruction with pan/tilt stereo-camera]]
* [[Inverse scaling parametrization for Monocular Simultaneous Localization and Mapping]]
* [[Image resize by solving a sparse linear system]]
* [[Monocular Simultaneous Localization And Mapping with Moving Object Tracking using Conditional Independent submaps]]
* [[Robust data association for high-speed SLAM]]

=== [[Machine Learning]] ===
----
* [[Adaptive Reinforcement Learning Multiagent Coordination in Real-Time Computer Games|Adaptive Reinforcement Learning Multiagent Coordination in Real-Time Computer Games]]
* [[B-Smart Behaviour Sequence Modeler and Recognition tool|B-Smart Behaviour Sequence Modeler and Recognition tool]]
* [[Giskar - Distance estimation through single camera features applied to Neural Networks]]

=== [[Evolutionary Computation]] ===
----

* [[Evoptool: Evolutive Optimization Tool]]

=== [[Philosophy of Artificial Intelligence]] ===
----

=== [[Robotics]] ===
----

==== [[Robot development]] ====
* [[ExhiBot - A robot for exhibitions]]
* [[LURCH - The autonomous wheelchair]]
* [[Balancing robots: Tilty, TiltOne]]
* [[Robotizing a Golf Cart ]]
* [[ Development of a neck for humanoid robot ]]
* [[Development of robot Maximum One - control and programming ]]
* [[Milan Robocup Team Robot development ]]
* [[Modular Robotic Toolkit ]]
* [[Indoor localization system based on a gyro and visual passive markers]]
* [[Simulation of a 6 DOF Manipulator]]

==== [[Benchmarking]] ====
* [[Rawseeds|RAWSEEDS]]

==== [[Bio Robotics]] ====
* [[PoliManus]]
* [[ZOIDBERG - An autonomous bio-inspired RoboFish]]
* [[Styx The 6 Whegs Robot]]
* [[PolyGlove: a body-based haptic interface]]
* [[ULISSE]]
* [[PEKeB: a PiezoElectric KeyBoard]]
* [[Anthropomorphic Robotic Wrist]]
* [[High-level architecture for the control of humanoid robot]]
* [[Zoidberg II, powering robot fish]]
* [[EMG, new test]]
* [[CPG for Warugadar]]
* [[Hand prosthesis using robotics principles]]

==== [[Robogames]] ====
* [[ROBOWII]]
* [[RobogameDesign]]

==== [[Navigation Strategies]] ====

=== [[Social Software and Semantic Web]] ===
----
===== [[Social Network Analysis| Extracting Knowledge From Social Networks]] =====

{{#ask: [[Category:Project]][[prjResTopic::Social Network Analysis]][[prjStatus::Active]]|?prjTitle = |format=ul}}

===== [[Semantic Tagging]] =====

{{#ask: [[Category:Project]][[prjResTopic::Semantic Tagging]][[prjStatus::Active]]|?prjTitle = |format=ul}}

===== [[Semantic Search]] =====

{{#ask: [[Category:Project]][[prjResTopic::Semantic Search]][[prjStatus::Active]]|?prjTitle = |format=ul}}



== Past projects ==

=== [[BioSignal Analysis]] ===

===== [[Affective Computing]] =====

{{#ask: [[Category:Project]][[prjResTopic::Affective Computing]] [[PrjEnd::<{{CURRENTYEAR}}/{{CURRENTMONTH}}/{{CURRENTDAY}}]]|format=ul}}

===== [[Brain-Computer Interface]] =====
* [[Online P300 and ErrP recognition with BCI2000]]

=== [[Robotics]] ===
*[[2D Mapping Using a Quadtree Data Structure]]

== April Fool's projects ==

Following the [http://en.wikipedia.org/wiki/April_Fools%27_Day_RFC RFC] tradition,
[[April_1st_Projects|here]] is our April Fool's project page.

== Note for students ==

If you are a student and there isn't a '''page describing your project''', this is because YOU have the task of creating it and populating it with (meaningful) content. If you are a student and there IS a page describing your project, you have the task to complete that page with (useful and comprehensive) information about your own contribution to the project. Be aware that the quality of your work (or lack of it) on the AIRWiki will be evaluated by the Teachers and will influence your grades.

Instructions to add a new project or to add content to an existing project page are available at [[Projects - HOWTO]].

User:DavideCastellone

2009-10-27T13:48:30Z

DavideCastellone:

{{Student
|category=Student
|firstname=Davide
|lastname=Castellone
|photo=Foto.jpg
|email=kastel88@email.it
|projectpage=Aperiodic visual stimulation in a VEP-based BCI
|advisor=MatteoMatteucci;
|status=active
}}

User:DavideCastellone

2009-10-27T13:38:01Z

DavideCastellone:

{{Student
|category=Student
|firstname=Davide
|lastname=Castellone
|photo=Foto.jpg
|email=kastel88@email.it
|advisor=MatteoMatteucci;
|status=active
}}

User:DavideCastellone

2009-10-27T13:35:30Z

DavideCastellone: New page: {{Student |category=Student |firstname=Davide |lastname=Castellone |photo=Foto.jpg |email=kastel88@email.it |status=active }}

{{Student
|category=Student
|firstname=Davide
|lastname=Castellone
|photo=[[Foto.jpg]]
|email=kastel88@email.it
|status=active
}}

File:Foto.jpg

2009-10-27T13:34:16Z

DavideCastellone: Davide Castellone

Davide Castellone