Difference between revisions of "HeadsetControlForWheelChair"

From AIRWiki
Jump to: navigation, search
m
Line 10: Line 10:
 
|type=Thesis
 
|type=Thesis
 
}}
 
}}
 +
 +
The aim of this project is to create a control with a low-cost biosensor for a wheelchair.
 +
 +
To achieve this purpose was used OCZ's NIA [[http://www.ocztechnology.com/products/ocz_peripherals/nia-neural_impulse_actuator NIA]], whose cost is under 100€.
 +
[[Image:Nia.jpg‎|200px|thumb|center|NIA by OCZ]]
 +
 +
The NIA can detect brain waves (EEG) muscle movements (EMG) and eye movements (EOG).
 +
 +
In this project we have only used the muscular movements, as it is less subject to electromagnetic disturbances and learning easier.
 +
 +
We have developed two modes of operation:
 +
with a preset destination and a mode of free movements

Revision as of 10:49, 22 February 2010

Headset Control For a Wheelchair
Short Description: Study how it would be possible to control a wheelchair with a low-cost headset detecting biosignals such as NIA
Coordinator:
Tutor: AndreaBonarini (andrea.bonarini@polimi.it), MatteoMatteucci (matteo.matteucci@polimi.it)
Collaborator:
Students: RobertoVandone (roberto.vandone@gmail.com)
Research Area: BioSignal Analysis
Research Topic:
Start: 2009/10/26
Status: Active
Level: Bs
Type: Thesis

The aim of this project is to create a control with a low-cost biosensor for a wheelchair.

To achieve this purpose was used OCZ's NIA [NIA], whose cost is under 100€.

NIA by OCZ

The NIA can detect brain waves (EEG) muscle movements (EMG) and eye movements (EOG).

In this project we have only used the muscular movements, as it is less subject to electromagnetic disturbances and learning easier.

We have developed two modes of operation: with a preset destination and a mode of free movements