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Design and Analysis of Virtual Human Arm Driven by EMG Signal: Simulation with GUI design - Tapa blanda

Al Mashhadany, Yousif

 
9783843379731: Design and Analysis of Virtual Human Arm Driven by EMG Signal: Simulation with GUI design
Tapa blanda
ISBN 10: 3843379734 ISBN 13: 9783843379731
Editorial: LAP LAMBERT Academic Publishing, 2010

Sinopsis

The real human arm is a complex kinematics system. It works according to instructions calculated by a highly accurate method, and has a moving system working by deity manner. The design and simulation analysis of arm moving system model with 7-Degree of Freedom (DOF) are presented. The electromyography (EMG) signal is the activation signal for muscles in human arm and accordingly the arm will have a certain movement. The arm dynamic system in real environment simulation was implemented using the inverse kinematics problem (IKP) analytical solution. The computation time of this simulation is very fast and has the ability to include any real constrain. The finite recurrent back propagation neural network ( FRBP-NN ) is used with the simulated system for identification, classification, and human arm movements recognition with respect to a specific EMG signal. Virtual Reality Toolbox, which is interfaced with the Simulink MATLAB. Satisfactory results are obtained, which give the solution of the forward and inverse kinematic human arm and the usefulness of using FRBP-NN to recognize the movements of human arm.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

The real human arm is a complex kinematics system. It works according to instructions calculated by a highly accurate method, and has a moving system working by deity manner. The design and simulation analysis of arm moving system model with 7-Degree of Freedom (DOF) are presented. The electromyography (EMG) signal is the activation signal for muscles in human arm and accordingly the arm will have a certain movement. The arm dynamic system in real environment simulation was implemented using the inverse kinematics problem (IKP) analytical solution. The computation time of this simulation is very fast and has the ability to include any real constrain. The finite recurrent back propagation neural network ( FRBP-NN ) is used with the simulated system for identification, classification, and human arm movements recognition with respect to a specific EMG signal. Virtual Reality Toolbox, which is interfaced with the Simulink MATLAB. Satisfactory results are obtained, which give the solution of the forward and inverse kinematic human arm and the usefulness of using FRBP-NN to recognize the movements of human arm.

Biografía del autor

Yousif Ismial Mohammed AL Mashhadany (MIEEE) was bon in Baghdad 1973. He received the B.Sc. degree (1995), M.Sc (1999).and Ph.D degree (2009) in Baghdad- Iraq. Since 2004, he has been working as Lecturer at the University of AL-Anbar ? Iraq. His research interests include biomedical, robotic and control system.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2010
Idioma
Inglés
ISBN 10 
3843379734
ISBN 13 
9783843379731
Encuadernación
Tapa blanda
Número de páginas
160
Contacto del fabricante
no disponible
Persona responsable
no disponible