Abstract
This work presents the development of a new algorithm for the control of robotic and prosthetic hands: the proposed architecture is made of an EMG wearable sensor and a personalized Graphical User Interface (GUI). The proposed system inherits and processes eight EMG signals which are locally amplified and rectified within the wearable device: then a signal classifier allows piloting a 2 degree of freedom cursor on the GUI in order to reach a provided target in the Cartesian space. The aim of this study is to finally provide a user-friendly interface for training human subjects on reaching movements with the EMG signals of their forearm muscles. This approach as twofold objectives: (1) to maintain, train and support the muscular tone and (2) to provide an interface for the physiotherapy and preparation of prosthetic use in daily life.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Access Prosthetics, 15 Limb loss statistics that may surprise you—access prosthetics (2019), https://accessprosthetics.com/15-limb-loss-statistics-may-surprise/. Accessed 4 Jul 2019
Touchbionics.com, Home| touch bionics (2019), https://www.touchbionics.com/. Accessed 4 Jul 2019
Open Bionics, Open bionics—turning disabilities into superpowers (2019), https://openbionics.com/. Accessed 4 Jul 2019
E.L. Secco, C. Moutschen, A soft anthropomorphic & tactile fingertip for low-cost prosthetic & robotic applications. EAI Endorsed Trans. Pervasive Health Technol. 4(14)
G. Magenes, S. Ramat, E.L. Secco, Life-like sensorimotor control: from biological systems to artifacts. Curr. Psychol. Cogn. 21(4/5), 565–596 (2002)
E.L. Secco, G. Magenes, A feedforward neural network controlling a 3 dof finger, in Proceedings Fifth International Conference on Cognitive and Neural Systems, Boston, MA (2001)
G. Matrone, C. Cipriani, E.L. Secco, M.C. Carrozza, G. Magenes, A biomimetic approach based on principal components analysis for multi-DoF prosthetic hand control, in Workshop CORNER Genova–IIT, 14–15 (2009)
Processing.org, Processing.org (2019), https://processing.org. Accessed 4 Jul 2019
Myo (2017), https://www.myo.com. Accessed 4 Jan 2017
G.C. Matrone, C. Cipriani, E.L. Secco, G. Magenes, M.C. Carrozza, Principal components analysis based control of a multi-dof underactuated prosthetic hand. J. Neuroeng. Rehabil. 7(1), 16 (2010)
E.L. Secco, C. Moutschen, T. Agidew, A.K. Nagar, A sustainable & biologically inspired prosthetic hand for healthcare. EAI Endorsed Trans. Pervasive Health Technol. 4(14) (2018)
C. Owen-Bridge, S. Blakeway, E.L. Secco, An integrated & secure system for wearable devices. Spec. Issue Multidiscip. Sci. Eng. Adv. Sci., Technol. Eng. Syst. J. 3(6), 432–437 (2018)
E.L. Secco, T.F. Agidew, A.K. Nagar, An optical-based fingertip force sensor. Spec. Issue Multidiscip. Sci. Eng. Adv. Sci., Technol. Eng. Syst. J. 3(5), 23–27 (2018)
Acknowledgements
This work was presented in report form in fulfillment of the requirements for the Internship for the student Philippe Cadett under the supervision of Dr. Emanuele Lindo Secco from the Robotics Laboratory, School of Mathematics, Computer Science and Engineering, Liverpool Hope University.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Secco, E.L., Caddet, P., Nagar, A.K. (2020). Development of an Algorithm for the EMG Control of Prosthetic Hand. In: Nagar, A., Deep, K., Bansal, J., Das, K. (eds) Soft Computing for Problem Solving 2019 . Advances in Intelligent Systems and Computing, vol 1139. Springer, Singapore. https://doi.org/10.1007/978-981-15-3287-0_15
Download citation
DOI: https://doi.org/10.1007/978-981-15-3287-0_15
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3286-3
Online ISBN: 978-981-15-3287-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)