Abstract | ||
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The following paper describes the implementation of three different controllers for a wheelchair. It was built for improving people's life that could have disabilities associated with functions regarding muscle strength, power of muscle of all limbs, tone of muscle of all limbs and endurance of all muscles of the body. Using three programmed methods that allow the user to have full control over the wheelchair. By acquiring voltage signals generated in eye's movements and using Neuro-Fuzzy Networks for differentiating each one, the wheelchair is able of being controlled by eye's movements. Figuring out about different kinds of user's needs and environments, the wheelchair includes voice control in spaces where noise levels are less than 40dB. The voice commands are detected using the Speech Recognition software which is a default program installed on Microsoft Windows operative system. The eye and voice controls were designed using LabVIEW and the intelligent control toolkit (ICTL). There were developed virtual simulators on C# code that enable the patient to have a previous training for having a better wheelchair control and performance. The system was tested on a person with cerebral palsy. |
Year | DOI | Venue |
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2010 | 10.1007/978-3-642-16761-4_37 | MICAI |
Keywords | Field | DocType |
voice control,better wheelchair control,virtual training,muscle strength,intelligent control toolkit,microsoft windows operative system,intelligent wheelchair,voice command,neuro-fuzzy networks,different kind,different controller,full control,intelligent control,fuzzy logic,operating system,neuro fuzzy,speech recognition | Wheelchair,Intelligent control,Microsoft Windows,Simulation,Computer science,Speaker recognition,Virtual training,Speech Recognition Software,Muscle strength,Voice command device | Conference |
Volume | ISSN | ISBN |
6437 | 0302-9743 | 3-642-16760-8 |
Citations | PageRank | References |
1 | 0.37 | 1 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pedro Ponce | 1 | 24 | 18.14 |
Arturo Molina | 2 | 642 | 69.86 |
Rafael Mendoza | 3 | 1 | 0.37 |
Marco Antonio Ruiz | 4 | 1 | 0.37 |
David Gregory Monnard | 5 | 1 | 0.37 |
Luis David Fernández Del Campo | 6 | 1 | 0.37 |