Difference between revisions of "AIRLab - IITLab"
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| − | AIRLab-IITLab is dedicated to activities | + | AIRLab is participating to the Politecnico di Milano IIT Unit, a research unit co-funded by Politecnico di MIlano and the [http://www.iit.it |Italian Institute of Technology]. Research of our unit is mainly done in these areas: [[Affective Computing]], [[Computer Vision and Image Analysis]], [[Robotics]], [[Affective Computing]], [[Brain-Computer Interfaces]], [[ Robot design and building]], [[Robotic Mapping]], [[Simultaneous Localization And Mapping]] |
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| + | AIRLab-IITLab is dedicated to activities co-funded by the Italian Institute of Technology. It is located in the building of the Department of Electronics and Information located in via Rimembranze di Lambrate, 14, Milan. | ||
[http://maps.google.com/maps/ms?ie=UTF8&hl=en&msa=0&msid=104260885015318248121.000477f35b1153b51c10a&t=h&z=11 Locate it on Google Maps] | [http://maps.google.com/maps/ms?ie=UTF8&hl=en&msa=0&msid=104260885015318248121.000477f35b1153b51c10a&t=h&z=11 Locate it on Google Maps] | ||
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Some experiments require external controlled conditions (no mobiles must ring, no people have to talk...) and particular instruments ([[Electroencephalographs]], [[Biofeedback and neurofeedback systems]]). If this is the case, you can book the IIT-Lab by going to [[IIT-Lab|its own page within the AIRWiki]] (of course you have to be a [[Registered users|registered user]] to do that). | Some experiments require external controlled conditions (no mobiles must ring, no people have to talk...) and particular instruments ([[Electroencephalographs]], [[Biofeedback and neurofeedback systems]]). If this is the case, you can book the IIT-Lab by going to [[IIT-Lab|its own page within the AIRWiki]] (of course you have to be a [[Registered users|registered user]] to do that). | ||
| + | Phone number: 9603 | ||
| − | + | '''Main projects''' | |
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| − | + | * [[Robotics for Disabled People]] | |
| − | * [ | + | Development of an autonomous wheelchair to be controlled by a Brain-Computer Interface and eventually other devices (voice control, touch screen, joystick, ...). |
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| + | * [[Affective robotic rehabilitation]] | ||
| + | Modeling the affective state of a patient involved in a robotic-assisted rehabilitation therapy session to improve the effectiveness of the therapy. | ||
| − | P300-Based Brain-Computer Interface | + | * [[P300-Based Brain-Computer Interface]] |
| − | + | Development of a P300-based BCI for writing and control of external devices. | |
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Revision as of 17:46, 25 August 2010
AIRLab is participating to the Politecnico di Milano IIT Unit, a research unit co-funded by Politecnico di MIlano and the |Italian Institute of Technology. Research of our unit is mainly done in these areas: Affective Computing, Computer Vision and Image Analysis, Robotics, Affective Computing, Brain-Computer Interfaces, Robot design and building, Robotic Mapping, Simultaneous Localization And Mapping
AIRLab-IITLab is dedicated to activities co-funded by the Italian Institute of Technology. It is located in the building of the Department of Electronics and Information located in via Rimembranze di Lambrate, 14, Milan. Locate it on Google Maps
The lab hosts activities related to Brain-Computer Interfaces (BCI) and Affective Computing applied to rehabilitation. Access to AIRLab-IITLab is reserved to authorized users who have been especially enabled to use this lab by their tutor. The key of the AIRLab - IITLab is provided to enabled users by the doorkeeper at the main entrance of the Lambrate building.
Some experiments require external controlled conditions (no mobiles must ring, no people have to talk...) and particular instruments (Electroencephalographs, Biofeedback and neurofeedback systems). If this is the case, you can book the IIT-Lab by going to its own page within the AIRWiki (of course you have to be a registered user to do that).
Phone number: 9603
Main projects
Development of an autonomous wheelchair to be controlled by a Brain-Computer Interface and eventually other devices (voice control, touch screen, joystick, ...).
Modeling the affective state of a patient involved in a robotic-assisted rehabilitation therapy session to improve the effectiveness of the therapy.
Development of a P300-based BCI for writing and control of external devices.
