Abstract
Recent advances in prosthesis technology have led to the commercialization of several bionic hands for forearm amputees. Current methods of control involve the use of electromyography (EMG) to open and close the prosthetic hand with pre-defined grip patterns. Research into the use of mechanomyographic (MMG) signals have been successful in hand prosthesis control, and could provide a superior alternative to EMG sensors. This paper investigates the use of a novel MMG sensor for control of a commercial bionic hand.
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
Similar content being viewed by others
References
Orizio, C.: Muscle sound: bases for the introduction of a mechanomyographic signal in muscle studies. Crit. Rev. Biomed. Eng. 21(3), 201 (1993)
Silva, J., Heim, W., Chau, T.: A self-contained, mechanomyography-driven externally powered prosthesis. Arch. Phys. Med. Rehabil. 86(10), 2066–2070 (2005)
Acknowledgements
The authors would like to thank RSLSteeper and Adam McEvoy for their support for the Bebionic V2 hand.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Woodward, R., Gardner, M., Angeles, P., Shefelbine, S., Vaidyanathan, R. (2014). A Novel Acoustic Interface for Bionic Hand Control. In: Natraj, A., Cameron, S., Melhuish, C., Witkowski, M. (eds) Towards Autonomous Robotic Systems. TAROS 2013. Lecture Notes in Computer Science(), vol 8069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43645-5_32
Download citation
DOI: https://doi.org/10.1007/978-3-662-43645-5_32
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-43644-8
Online ISBN: 978-3-662-43645-5
eBook Packages: Computer ScienceComputer Science (R0)