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Design and Analysis of Virtual Human Arm Driven by EMG Signal: Simulation with GUI design - Softcover
Synopsis
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.
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About the Author
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.
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Design and Analysis of Virtual Human Arm Driven by EMG Signal
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LAP Lambert Academic Publishing 2010-12, 2010
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Design and Analysis of Virtual Human Arm Driven by EMG Signal
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Design and Analysis of Virtual Human Arm Driven by EMG Signal Simulation with GUI design
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Design and Analysis of Virtual Human Arm Driven by EMG Signal: Simulation with GUI design
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Design and Analysis of Virtual Human Arm Driven by EMG Signal
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Design and Analysis of Virtual Human Arm Driven by EMG Signal: Simulation with GUI design
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Design and Analysis of Virtual Human Arm Driven by EMG Signal
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 160 pp. Englisch. Seller Inventory # 9783843379731
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Design and Analysis of Virtual Human Arm Driven by EMG Signal
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Design and Analysis of Virtual Human Arm Driven by EMG Signal
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: al mashhadany yousifYousif 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 Un. Seller Inventory # 5467833
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Design and Analysis of Virtual Human Arm Driven by EMG Signal : Simulation with GUI design
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ISBN 13: 9783843379731
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783843379731
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