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Human machine interaction using hybrid biological signals : next step of powered wheelchair controller / / Pankaj Kadam



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Autore: Kadam Pankaj Visualizza persona
Titolo: Human machine interaction using hybrid biological signals : next step of powered wheelchair controller / / Pankaj Kadam Visualizza cluster
Pubblicazione: Hamburg, Germany : , : Anchor Academic Publishing, , 2014
©2014
Descrizione fisica: 1 online resource (60 p.)
Disciplina: 001.535
Soggetto topico: Artificial intelligence
Human-machine systems - Design
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Human Machine Interaction Using Hybrid Biological Signals; Acknowledgement; Abstract; Table of Contents; Table of Figures; Nomenclature; 1 Introduction; 1.1 History; 1.2 Types of wheelchairs; 1.3 Current research; 2 Goals and objective; 2.1 Project description; 2.2 Hardware; 2.3 Software; 3 Evaluation; 3.1 Component testing; 3.2 Subsystem testing; 3.3 System testing; 4 Future development; 4.1 ANN training:; 4.2 Extra features in GUI:; 4.3 Headband:; 4.4 Additional improvements:; 4.5 Challenges encountered; 5 Conclusion; 6 References; About the author
Sommario/riassunto: In the last decade, digital revolution has improved the living standard of people in cities and urban areas. The project is part of the effort to improve the quality of life for the elderly, quadriplegic, and individuals with muscle degeneration condition. The author has tried to merge robotic techniques with powered wheelchair systems that can assist them in their daily life and provide mobility. This project tries to merge man with the machine in a minimalistic way, and to provide safer control at the same time. In this book, the author describes the software, hardware, and the challenge
Titolo autorizzato: Human machine interaction using hybrid biological signals  Visualizza cluster
ISBN: 3-95489-643-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910787710303321
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