Master's Thesis from the year 2010 in the subject Engineering - Robotics, grade: 70, University of Essex, course: Embedded Systems - Robotics - Human Machine Interaction, language: English, abstract: The idea of using a powered wheelchair, for people with mobility limitation and the elderly has been around for quite a while. Most of these wheelchairs require the use of upper limbs to control them. On the contrary, this project aims to help quadriplegic individuals to use their wheelchair with minimum human assistance. It involves the use of Bio-signals mainly EMG EOG and EEG to control the intelligent wheelchair using Artificial Neural Network and Sensor Fusion technology. The setup can also be use for below the neck paralyzed or elderly people with less upper arm strength. It's a new approach towards wheelchair control which is non-invasive, discrete and functional. This document gives details of the human-machine interface, the technical equipment, functionality, evaluation and implementation of the system.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
I hold an MSc. Embedded Systems, from University of Essex, England. I like to work on cutting edge technology that enriches life of common people. I am currently in search of career opportunity where my programming skills and expertise in Information Technology can be utilized to their optimum level.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master's Thesis from the year 2010 in the subject Engineering - Robotics, grade: 70, University of Essex, course: Embedded Systems - Robotics - Human Machine Interaction, language: English, abstract: The idea of using a powered wheelchair, for people with mobility limitation and the elderly has been around for quite a while. Most of these wheelchairs require the use of upper limbs to control them. On the contrary, this project aims to help quadriplegic individuals to use their wheelchair with minimum human assistance. It involves the use of Bio-signals mainly EMG EOG and EEG to control the intelligent wheelchair using Artificial Neural Network and Sensor Fusion technology. The setup can also be use for below the neck paralyzed or elderly people with less upper arm strength.It's a new approach towards wheelchair control which is non-invasive, discrete and functional. This document gives details of the human-machine interface, the technical equipment, functionality, evaluation and implementation of the system. 64 pp. Englisch. N° de réf. du vendeur 9783656389545
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Master's Thesis from the year 2010 in the subject Engineering - Robotics, grade: 70, University of Essex, course: Embedded Systems - Robotics - Human Machine Interaction, language: English, abstract: The idea of using a powered wheelchair, for people with mobility limitation and the elderly has been around for quite a while. Most of these wheelchairs require the use of upper limbs to control them. On the contrary, this project aims to help quadriplegic individuals to use their wheelchair with minimum human assistance. It involves the use of Bio-signals mainly EMG EOG and EEG to control the intelligent wheelchair using Artificial Neural Network and Sensor Fusion technology. The setup can also be use for below the neck paralyzed or elderly people with less upper arm strength.It¿s a new approach towards wheelchair control which is non-invasive, discrete and functional. This document gives details of the human-machine interface, the technical equipment, functionality, evaluation and implementation of the system.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. N° de réf. du vendeur 9783656389545
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2010 in the subject Engineering - Robotics, grade: 70, University of Essex, course: Embedded Systems - Robotics - Human Machine Interaction, language: English, abstract: The idea of using a powered wheelchair, for people with mobility limitation and the elderly has been around for quite a while. Most of these wheelchairs require the use of upper limbs to control them. On the contrary, this project aims to help quadriplegic individuals to use their wheelchair with minimum human assistance. It involves the use of Bio-signals mainly EMG EOG and EEG to control the intelligent wheelchair using Artificial Neural Network and Sensor Fusion technology. The setup can also be use for below the neck paralyzed or elderly people with less upper arm strength.It's a new approach towards wheelchair control which is non-invasive, discrete and functional. This document gives details of the human-machine interface, the technical equipment, functionality, evaluation and implementation of the system. N° de réf. du vendeur 9783656389545
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Taschenbuch. Etat : Neu. Powered Wheelchair Controller Using Hybrid Bio-Signals | MSc. Dissertation Report | Pankaj Kadam | Taschenbuch | 64 S. | Englisch | 2013 | GRIN Verlag | EAN 9783656389545 | Verantwortliche Person für die EU: GRIN Publishing GmbH, Waltherstr. 23, 80337 München, info[at]grin[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 106018275
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