Abstract
This paper presents a novel highly integrated prosthetic hand equipped with a man-machine interface for performing good grasping features. The hand has five fingers and each of them can be driven individually by the embedded actuation and control system fitted in the palm. By using the man-machine interface, users can control the prosthetic hand by means of their EMG signals and get grasp force feeling through the sensory feedback system designed based on surface electrical stimulus. At the end of this paper, a grasping trial is presented to verify the ability of interaction between the human body and the prosthetic hand.
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References
I-Limb Hand Brochure, http://www.touchBionics.com/document-library
Cipriani, C., Zaccone, F., Stellin, G., Beccai, L., Cappiello, G., Carrozza, M.C., Dario, P.: Closed-loop Controller for a Bio-inspired Multi-fingered Underactuated Prosthesis. In: Proceedings of 2006 IEEE International Conference on Robotics and Automation, pp. 2111–2116. IEEE Press, New York (2006)
Carrozza, M.C., Cappiello, G., Micera, S., Edin, B.B., Beccai, L., Cipriani, C.: Design of a Cybernetic Hand for Perception and Action. Biological Cybernetics 95(6), 629–644 (2006)
Lake, C., Miguelez, J.M.: Evolution of Microprocessor Based Control Systems in Upper Extremity Prosthetics. Technology and Disability 2(15), 63–67 (2003)
Cipriani, C., Zaccone, F., Micera, S., Carrozza, M.C.: On the Shared Control of an EMG-Controlled Prosthetic Hand Analysis of User-prosthesis Interaction. IEEE Transactions on Robotics 24(1), 170–184 (2008)
Hernandez Arieta, A., Kato, R., Yokoi, H., Yu, W.W.: Development of a Multi-DOF Electromyography Prosthetic System Using the Adaptive Joint Mechanism. Applied Bionics and Biomechanics 3(2), 101–112 (2006)
Kato, R., Yokoi, H., Hernandez Arieta, A., Yu, W.W., Arai, T.: Mutual Adaptation Among Man and Machine by Using f-MRI Analysis. Robotics and Autonomous Systems 57(2), 161–166 (2009)
Castellini, C., Van Der Smagt, P.: Surface EMG in Advanced Hand Prosthetics. Biological Cybernetics 100, 35–47 (2009)
Yang, D.P., Zhao, J.D., Gu, Y.K., Wang, X.Q., Li, N., Jiang, L., Liu, H., Huang, H., Zhao, D.W.: An Anthropomorphic Robot Hand Developed Based on Underactuated Mechanism and Controlled by EMG Signals. Journal of Bionic Engineering 6(3), 255–263 (2009)
Hsu, C.W., Lin, C.J.: A Comparison of Methods for Multi-class Support Vector Machines. IEEE Transactions on Neural Networks 13, 415–425 (2002)
Scott, R.N., Caldwell, R.R., Brittain, R.H.: Sensory-feedback System Compatible with Myoelectric Control. Medical and Biological Engineering and Computing 18(1), 65–69 (1980)
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Li, N., Jiang, L., Yang, D., Wang, X., Fan, S., Liu, H. (2010). Development of an Anthropomorphic Prosthetic Hand for Man-Machine Interaction. In: Liu, H., Ding, H., Xiong, Z., Zhu, X. (eds) Intelligent Robotics and Applications. ICIRA 2010. Lecture Notes in Computer Science(), vol 6424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16584-9_4
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DOI: https://doi.org/10.1007/978-3-642-16584-9_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16583-2
Online ISBN: 978-3-642-16584-9
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