View source for First Level Course Projects

Here you can find a list of project proposals for the courses of "Progetto di Ingegneria Informatica" and "Progetto di Robotica" (5 CFU for each student).  See [[Project Proposals]] for other kinds of projects and theses.

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==== BioSignal Analysis ====

===== Brain-Computer Interface =====
{{Project template
|title=Driving an autonomous wheelchair with a P300-based BCI
|tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:BernardoDalSeno|Bernardo Dal Seno]] ([mailto:dalseno%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])
|description=This project pulls together different Airlab projects with the aim to drive an autonomous wheelchair ([[LURCH - The autonomous wheelchair|LURCH]]) with a [[Brain-Computer Interface|BCI]], through the development of key software modules.  Depending on the effort the student is willing to put into it, the project can grow to a full experimental thesis.

;Tools and instruments
:C++, C, [http://www.bci2000.org/ BCI2000]
:Linux

;Bibliography
: R. Blatt et al. ''Brain Control of a Smart Wheelchair'' [http://www.booksonline.iospress.com/Content/View.aspx?piid=9401]
|start=November 2008
|number=1
|cfu=5-20
|image=LURCH_wheelchair.jpg}}

{{Project template
|title=Reproduction of an algorithm for the recognition of error potentials
|tutor=[[User:MatteoMatteucci|Matteo Matteucci]] ([mailto:matteucc%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email]), [[User:BernardoDalSeno|Bernardo Dal Seno]] ([mailto:dalseno%40%65%6c%65%74%2e%70%6f%6c%69%6d%69%2e%69%74 email])
|description=Error potentials (ErrPs) are [http://en.wikipedia.org/wiki/Event-related_potential event-related potentials] present in the EEG (electroencephalogram) when a subject makes a mistake or when the machine a subject is interacting with works in an expected way.  They could be used in the [[Brain-Computer Interface|BCI]] field to improve the performance of a BCI by automatically detecting classification errors.
The project aims at reproducing algorithms for ErrP detection from the literature.

;Tools and instruments
:Matlab

;Bibliography
:P.W. Ferrez, J. Millán. ''You Are Wrong! Automatic Detection of Interaction Errors from Brain Waves'' [ftp://ftp.idiap.ch/pub/reports/2005/ferrez_2005_ijcai.pdf]
:G. Schalk et al. ''EEG-based communication: presence of an error potential'' [http://scienceserver.cilea.it/cgi-bin/sciserv.pl?collection=journals&issn=13882457&volume=111&issue=12&firstpage=2138&form=html]
|start=Anytime
|number=1
|cfu=5-15
|image=Bci_arch.png}}

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==== Computer Vision and Image Analysis ====

{{Project template
|title=Video surveillance system for indoor Environment
|tutor=Matteo Matteucci (matteucci-AT-elet-DOT-polimi-DOT-it)
|description=The goal of this project is to develop a video surveillance system based on background subtraction algorithm. The idea is to use a single static camera to track moving objects in a known environment. 
The skills required for this project are:
* C/C++ and OpenCV library
* Linux o.s.

The project can be turned into a thesis extending the algorithm for camera network.
|start=Anytime
|number=2-3
|cfu=2.5-15
|image=Danch4.png 
}}

<!--==== E-Science ====-->

==== Computational Intelligence and Games ====
{{Project template
|title= TORCS competition
|tutor= Daniele Loiacono (loiacono-AT-elet-DOT-polimi-DOT-it)
|description=[http://torcs.sourceforge.net/ TORCS] is a state-of-the-art open source racing simulator that represents an ideal bechmark for machine learning techniques. We already organized two successfull competitions based on TORCS where competitors have been asked to develop a controller using their preferred machine learning techniques.
The goal of this project is to apply any machine learning technique to develop a successfull controller following the competition rules (available [http://cig.dei.polimi.it/?page_id=67 here])
|start=Anytime
|number=1 to 2
|cfu=5
|image=TORCS.jpg}}

==== Social Software and Semantic Web ====

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{{#ask: [[Category:ProjectProposal]] 
[[PrjLevel::Bs]]
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[[PrjResArea::Social Software and Semantic Web]] |
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format = template |
template = Template:ProjectProposalViz
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==== Robotics ====
{{Project template
|title=Simulation of 6-DOF Robot Manipulator
|tutor=Marcello Restelli (restelli-AT-elet-DOT-polimi-DOT-it)
|description=The goal of this project is to develop a simulator for a 6-DOF robot manipulator, using the [http://www.ode.org/ ode] (open dynamics engine) library for simulating the rigid body dynamics. The project involves three different phases:
* Building the physical model of the manipulator
* Implementing the forward and inverse kinematic routines 
* Implementing the trajectory planning routines
* Implementing the control modules
* Implementing an interface to control the robot movements

This project allows to put into practice what has been explained during the first part of the course of Robotics.

The project can be turned into a thesis, by using the simulated manipulator to perform some learning experiments.
|start=Anytime
|number=2-3
|cfu=10-15
|image=puma6dof1.jpg}}

{{Project template
|title=Calibration of IMU-camera system
|tutor=[[User:MatteoMatteucci|Matteo Matteucci]], [[User:DavideMigliore|Davide Migliore]]
|description=This work is about the problem to calibrate a system composed by an XSense 
Inertial Measurement Unit and a Fire-i Camera. The pro ject will be focus on 
the problem to estimate both unknown rotation between the two devices and the 
extrinsic/intrinsic parameters of the camera. This algorithm allows to use the 
system for SLAM or robotics applications, like a wereable device for autonomous 
navigation or augmented reality. 

;Tools and instruments
:Matlab/C++

;Links
:Matlab Toolbox for mutual calibration [http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Toolbox.html]
:List of pubblications[http://www.deec.uc.pt/~jlobo/InerVis_WebIndex/InerVis_Pubs.php]

|start=Anytime
|number=1
|cfu=5-20
|image=Imu_cam_big_sphere.gif}}

{{#ask: [[Category:ProjectProposal]] 
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format = template |
template = Template:ProjectProposalViz
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