Difference between revisions of "HeadsetControlForWheelChair"
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+ | The aim of this project is to create a control with a low-cost biosensor for a wheelchair. | ||
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+ | 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]] | ||
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+ | The NIA can detect brain waves (EEG) muscle movements (EMG) and eye movements (EOG). | ||
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+ | In this project we have only used the muscular movements, as it is less subject to electromagnetic disturbances and learning easier. | ||
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+ | 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
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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€.
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