Affiliation:
1. Department of Ortho and MSK Science, University College London, London HA7 4LP, UK
Abstract
The detection of an object slipping within the grasp of a prosthetic hand enables the hand to react to ensure the grasp is stable. The computer controller of a prosthetic hand needs to be able to unambiguously detect the slide from other signals. Slip can be detected from the surface vibrations made as the contact between object and terminal device shifts. A second method measures the changes in the normal and tangential forces between the object and the digits. After a review of the principles of how the signals are generated and the detection technologies are employed, this paper details the acoustic and force sensors used in versions of the Southampton Hand. Attention is given to the techniques used in the field. The performance of the Southampton tube sensor is explored. Different surfaces are slid past a sensor and the signals analysed. The resulting signals have low-frequency content. The signals are low pass filtered and the resulting processing results in a consistent response across a range of surfaces. These techniques are fast and not computationally intensive, which makes them practical for a device that is to be used daily in the field.
Funder
European Union
Leverhulme Trust
Natural Sciences and Engineering Research Council
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference76 articles.
1. Acoustics of friction;Akay;J. Acoust. Soc. Am.,2002
2. Roles of glabrous skin receptors and sensorimotor memory in automatic control of precision grip when lifting rougher or more slippery objects;Johansson;Exp. Brain Res.,1984
3. Tangential torque effects on the control of grip forces when holding objects with a precision grip;Kinoshita;J. Neurophysiol.,1997
4. A Mechanical Hand with Automatic Proportional Control of Prehension;Coleman;Med. Biol. Eng.,1967
5. Dornfeld, D., and Handy, C. (April, January 31). Slip detection using acoustic emission signal analysis. Proceedings of the 1987 IEEE International Conference on Robotics and Automation, Raleigh, NC, USA.
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