AIRWiki - User contributions [en]

User:AndreaMaesani

2008-11-10T18:10:14Z

AndreaMaesani:

{{SMWUser
|firstname=Andrea
|lastname=Maesani
|email=andrea.maesani (at) mail (dot) polimi (dot) it
|advisor=SimoneTognetti
|projectpage=Affective Computing
}}

Online Emotion Classification

2008-11-10T18:07:48Z

AndreaMaesani:

== '''Project profile''' ==

=== Project name ===

Online Emotion Classification

=== Project short description ===

The project focuses on the development of a software framework for online emotion classification. A general framework will be developed to support emotion detection using several biometric signals.

=== Dates ===
Start date: 2008/10/07

End date: not yet completed

=== People involved ===

==== Project leaders ====

* [[User:SimoneTognetti|Simone Tognetti]]

==== Students ====
'''Students currently working on the project'''

* [[User:AndreaMaesani|Andrea Maesani]]
* [[User:ClaudioMagni|Claudio Magni]]
* [[User:EmanuelePadula|Emanuele Padula]]

== '''Project description''' ==

The framework for online emotion classification will be composed of:
* A client application that receives data (XML data) from a generic source (A server application that polls sensors and generate the XML data with the sampled biometric signals). [C++/libXML/MatlabAPI]
* An online classifier that can be feed with the data received by the client and outputs the result of the classification. [Matlab/Java]
* An offline trainer to train the classifier with previously collected data. [Matlab/Java]
* A 3d GUI that can be connected to the online classifier to show the result of the classification. [C++/OGRE]

The client parses the received XML and interacts through the Matlab API with the Matlab engine, launching the classifier and passing it the parsed data.

The classifiers are based on the Weka classification engine. After a strong preprocessing on the data done with Matlab, the signals are classified using Weka.

The GUI contains several models of human faces that can change expressions according to the received classification signal from the online classifier.

Projects

2008-11-10T18:06:32Z

AndreaMaesani: /* Affective Computing */

''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]] ====
----

* [[Evolutionary game theory for biology| Evolutionary game theory for biology]]

* [[Game theoretic analysis of electric power| Game theoretic analysis of electric power market]]

* [[Multiagent cooperation|Multiagent cooperating system]]

* [[Planning in Ambient Intelligence scenarios| Planning in Ambient Intelligence scenarios]]

* [[Strategic robot patrolling| Strategic robot patrolling]]

==== [[BioSignal Analysis]] ====
----
====== [[Affective Computing]] ======

* [[Relatioship between Cognition and Emotion in Rehabilitation Robotics]]
* [[Driving companions]]
* [[Emotion from Interaction]]
* [[Wireless Affective Devices]]
* [[Online Emotion Classification]]

====== [[Brain-Computer Interface]] ======

* [[Online P300 and ErrP recognition with BCI2000]]
* [[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)
* [[Graphical user interface for an autonomous wheelchair]]
* [[Mu and beta rhythm-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]]

==== [[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]]

==== [[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]]

* [[Player modeling in TORCS exploiting SVMs and GPUs parallelism|Player modeling in TORCS exploiting SVMs and GPUs parallelism]]

* [[Development an Artificial Intelligence System solving the MS Pac-Man videogame |Development an Artificial Intelligence System solving the MS Pac-Man videogame ]]

* [[Parameters optimization in TORCS exploiting genetic algorithms]]

* [[Neuroevolution in TORCS for evolving interesting and adaptive behaviors]]

==== [[Ontologies and Semantic Web]] ====
----

==== [[Philosophy of Artificial Intelligence]] ====
----
==== [[Robotics]] ====
----
===== [[Robot development]] =====
* [[LURCH - The autonomous wheelchair]]

* [[Balancing robots: Tilty, TiltOne]]

* [[ Computer controlled Braking on the Alpaca Golf Cart ]]

* [[ Computer controlled Steering on the Alpaca Golf Cart ]]

* [[ Development of a neck for umanoid robot ]]

===== [[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]]

===== [[Robogames]] =====

* [[ROBOWII]]
----

== 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]].

Online Emotion Classification

2008-11-10T18:02:51Z

AndreaMaesani:

== '''Project profile''' ==

=== Project name ===

Online Emotion Classification

=== Project short description ===

The project focuses on the development of a software framework for online emotion classification. A general framework will be developed to support emotion detection using several biometric signals.

=== Dates ===
Start date: 2008/10/07

End date: -

=== Internet site(s) ===

=== People involved ===

==== Project leaders ====

* [[User:SimoneTognetti|Simone Tognetti]]

==== Students ====
'''Students currently working on the project'''

* [[User:AndreaMaesani|Andrea Maesani]]
* [[User:ClaudioMagni|Claudio Magni]]
* [[User:EmanuelePadula|Emanuele Padula]]

== '''Project description''' ==

The framework for online emotion classification will be composed of:
* A client application that receives data (XML data) from some generic source (A server application that polls sensors and generate the XML data with the sampled biometric signals). [C++/libXML/MatlabAPI]
* An online classifier that can be feed with the data received by the client and outputs the result of the classification. [Matlab/Java]
* An offline trainer to train the classifier with previously collected data. [Matlab/Java]
* A 3d GUI that can be connected to the online classifier to show the result of the classification. [C++/OGRE]

The client parses the received XML and interacts through the Matlab API with the Matlab engine, launching the classifier and passing it the parsed data.

The classifiers are based on the Weka classification engine. After a strong preprocessing on the data done with Matlab, the signals are classified using Weka.

The GUI contains several models of human faces that can change expressions according to the received classification signal from the online classifier.

Online Emotion Classification

2008-11-10T18:02:13Z

AndreaMaesani:

== '''Project profile''' ==

=== Project name ===

Online Emotion Classification

=== Project short description ===

The project focuses on the development of a software framework for online emotion classification. A general framework will be developed to support emotion detection using several biometric signals.

=== Dates ===
Start date: 2008/10/07

End date: -

=== Internet site(s) ===

=== People involved ===

==== Project leaders ===

* [[User:SimoneTognetti|Simone Tognetti]]

==== Students ====
'''Students currently working on the project'''

* [[User:AndreaMaesani|Andrea Maesani]]
* [[User:ClaudioMagni|Claudio Magni]]
* [[User:EmanuelePadula|Emanuele Padula]]

== '''Project description''' ====

The framework for online emotion classification will be composed of:
* A client application that receives data (XML data) from some generic source (A server application that polls sensors and generate the XML data with the sampled biometric signals). [C++/libXML/MatlabAPI]
* An online classifier that can be feed with the data received by the client and outputs the result of the classification. [Matlab/Java]
* An offline trainer to train the classifier with previously collected data. [Matlab/Java]
* A 3d GUI that can be connected to the online classifier to show the result of the classification. [C++/OGRE]

The client parses the received XML and interacts through the Matlab API with the Matlab engine, launching the classifier and passing it the parsed data.

The classifiers are based on the Weka classification engine. After a strong preprocessing on the data done with Matlab, the signals are classified using Weka.

The GUI contains several models of human faces that can change expressions according to the received classification signal from the online classifier.

Online Emotion Classification

2008-11-10T18:01:38Z

AndreaMaesani: New page: == '''Project profile''' == === Project name === Online Emotion Classification === Project short description === The project focuses on the development of a software framework for onl...

== '''Project profile''' ==

=== Project name ===

Online Emotion Classification

=== Project short description ===

The project focuses on the development of a software framework for online emotion classification. A general framework will be developed to support emotion detection using several biometric signals.

=== Dates ===
Start date: 2008/10/07

End date: -

=== Internet site(s) ===

=== People involved ===

==== Project leaders ===

* [[User:SimoneTognetti|Simone Tognetti]]

==== Students ====
'''Students currently working on the project'''

* [[User:AndreaMaesani|Andrea Maesani]]
* [[User:ClaudioMagni|Claudio Magni]]
* [[User:EmanuelePadula|Emanuele Padula]]

== '''Project description''' ====

The framework for online emotion classification will be composed of:
- A client application that receives data (XML data) from some generic source (A server application that polls sensors and generate the XML data with the sampled biometric signals). [C++/libXML/MatlabAPI]
- An online classifier that can be feed with the data received by the client and outputs the result of the classification. [Matlab/Java]
- An offline trainer to train the classifier with previously collected data. [Matlab/Java]
- A 3d GUI that can be connected to the online classifier to show the result of the classification. [C++/OGRE]

The client parses the received XML and interacts through the Matlab API with the Matlab engine, launching the classifier and passing it the parsed data.

The classifiers are based on the Weka classification engine. After a strong preprocessing on the data done with Matlab, the signals are classified using Weka.

The GUI contains several models of human faces that can change expressions according to the received classification signal from the online classifier.

Affective Computing And BioSignals

2008-11-10T17:44:58Z

AndreaMaesani: /* Ongoing Projects */

Affective computing is aimed at detecting the emotional state of people involved in the interaction with a machine, in order to improve the interactiom.
It is aimed at the introduction of an affective comunicative channel that goes near the standard cognitive one that is present in each human-machine system.

Click [http://airlab.elet.polimi.it/index.php/airlab/research_areas/affective_computing here] for a brief description of the Research Area, taken from the AirLab website.

==Ongoing Projects==

* [[Relatioship between Cognition and Emotion in Rehabilitation Robotics]]
* [[Driving companions]]
* [[Emotion from Interaction]]
* [[Affective Devices]]
* [[Online Emotion Classification]]

==Finished Projects==

* [[Affective Robotic Rehabilitation]]

User:AndreaMaesani

2008-11-10T17:42:12Z

AndreaMaesani: New page: {{SMWUser |firstname=Andrea |lastname=Maesani |email=andrea.maesani@mail.polimi.it |advisor=SimoneTognetti |projectpage=Affective Computing }}

{{SMWUser
|firstname=Andrea
|lastname=Maesani
|email=andrea.maesani@mail.polimi.it
|advisor=SimoneTognetti
|projectpage=Affective Computing
}}