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Use of accelerometers in the control of practical prosthetic arms

Use of accelerometers in the control of practical prosthetic arms

Kyberd, Peter J ORCID: 0000-0001-9022-6748 and Poulton, Adrian (2017) Use of accelerometers in the control of practical prosthetic arms. Transactions of Neural Systems and Rehabilitation Engineering (99). pp. 1-8. ISSN 1534-4320 (Print), 1558-0210 (Online) (doi:https://doi.org/10.1109/TNSRE.2017.2693683)

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Abstract

Accelerometers can be used to augment the control of powered prosthetic arms. They can detect the orientation of the joint and limb and the controller can correct for the amount of torque required to move the limb. They can also be used to create a platform, with a fixed orientation relative to gravity for the object held in the hand. This paper describes three applications for this technology, in a powered wrist and powered arm. By adding sensors to the arm making these data available to the controller, the input from the user can be made simpler. The operator will not need to correct for changes in orientation of their body as they move. Two examples of the correction for orientation against gravity are described and an example of the system designed for use by a patient. The controller for all examples is a distributed set of microcontrollers, one node for each joint, linked with the Control Area Network (CAN) bus. The clinical arm uses a version of the Southampton Adaptive Manipulation Scheme to control the arm and hand. In this control form the user gives simpler input commands and leaves the detailed control of the arm to the controller

Item Type: Article
Uncontrolled Keywords: Artificial limbs; Prosthetic limbs; Prosthetic hand; Accelerometers
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Engineering Science
Related URLs:
Last Modified: 27 Apr 2018 13:29
Selected for GREAT 2016: None
Selected for GREAT 2017: GREAT c
Selected for GREAT 2018: GREAT c
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/16673

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