A Method for Controlling of Hand Prosthesis Based on Neural Network

Authors: Fereidoun Nowshiravan Rahatabad, Mohammad Ali Nekoui, Mohammad Reza Hashemi Golpaygani, AliFallah, Mehdi Kazemzadeh Narbat

Abstract:

The people are differed by their capabilities, skills and mental agilities. The evolution of human from childhood when they are completely dependent up to adultness the time they gradually set the dependency free is too complicated, by considering they have all started from almost one point but some become cleverer and some less. The main control command of a cybernetic hand should be posted by remaining healthy organs of disabled Person. These commands can be from several channels, which their recording and detecting are different and need complicated study. In this research, we suppose that, this stage has been done or in the other words, the command has been already sent and detected. So the main goal is to control a long hand, upper elbow hand missing, by an interest angle define by disabled. It means that, the system input is the position desired by disables and the output is the elbow-joint angle variation. Therefore the goal is a suitable control design based on neural network theory in order to meet the given mapping.

Keywords: Control - system design, Upper limb prosthesis, neuralnetwork.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1056615

References:

[1] A. Fallah, A. A. Moradi, and R. Mikaili, ''Control of the Electic Motor in Cybernetic Arm and Review of Parameters Values'', 10th EMCSR 1990 Austrain.
[2] Fredrik C. P. Sebelius, Birgitta N. Rosen, ''Refined Myoelectric Control in Below-Elbow Amputees Using Artificial Neural Networks and a Data Glove'', The Journal of Hand Surgery, 2005.
[3] Michele Folgheraiter, Marek Perkowski, ''Adaptive Refelex Control for an Artificial Hand'', ECE Department, Portland State University, 2002.
[4] Michele Folgheraiter, ''Human-like reflex control for an artificial hand'', ELSEVIER, Biosystem, 2003.
[5] M. Reischl, R.Mikut, C. Pylatiuk, S.Schulz, ''Control Strategies for Hand Protheses Using Myoelectric Patterns'', Institute of Applied Computer Science (IAI), 2000.
[6] M Canina, F. Vicentini, A.Rovetta, ''Innovative Design, Development and Prototyping of Knee Prosthesis'', Robotics Laboratory-Mechanical Dept, 2004.
[7] H.Grant, C. K.Lai, ''Simulation Modeling with Artificial Reality Technology (SMART): An Integration of Virtual Reality and Simulation Modeling'', School of Industrial Engineering,Proceeding of the 1998 Winer Simulation Conferrence.
[8] Quing-chang zang,''Robust Control of Time-delay Systems,'' Springer, 2006.
[9] Matthias Rauterberg, ''How to Measure Cognitive Complexity in Human-Computer Interaction,'' Work and Organizational Psychology Unit Swiss Federal Institute Technology (ETH).
[10] M.Kawato,y.Uno,M.Isobe and R.Suzuki, ''Hierarchial Neural Network Model for Voluntary Movement with Application to Robotics,''IEEE Control System Mayazine,1998.
[11] Kia Nichel and Rainer Stiefelhagen,'' Visual Recognition of Pointing Gestures for Human-Robot Interaction,'' Elsevier, 2006.
[12] T. Derosam and T. Fisher ''Aspects of controlling multifinger gripper,'' Elsevier, 1998.
[13] C.M. Light and P.H Chappell, ''Development of a Light Weight and Adaptable Multiple- Axis Hand Prosthesis,''Elsevier, 2001.
[14] Panson J. Antaski and Kievin M. Pssiono ''An Introduction to Intelligent and autonomous control,'' University of north dam, 1993.