NDLI: Augmenting neuroprosthetic hand control through evaluation of a bioacoustic interface

Content Provider	IEEE Xplore Digital Library
Author	Mace, M. Subbich, S. Naeem, A.A. Vaidyanathan, R.
Copyright Year	2013
Description	Author affiliation: Dept. of Mech. Eng., Imperial Coll. London, London, UK (Mace, M.; Subbich, S.; Naeem, A.A.; Vaidyanathan, R.)
Abstract	The majority of neuroprosthetic interfaces, linking amputee to prosthetic hand, utilise proportional-based control through electromyography (EMG). The clinical translation of these interfaces can be attributed to their relative simplicity, usually requiring only two EMG electrodes to be placed on the flexor and extensor of the forearm. This bi-electrode setup enables opening and closing of hand grasp with an additional manual input used to cycle through the various grip patterns. In recent literature, the main focus has been on higher degree-of-freedom control leading to more complicated interfaces which can be considered the main barrier preventing their clinical utility. As such, new methods for grip pattern switching have not been explored with this fieldable strategy lacking any serious attention. In this work, a novel input, augmenting neuroprosthetic hand control, is proposed. This interface is based on bioacoustic signals generated through prescribed tongue movements. We demonstrate that such an interface can provide comparable performance to existing proportional-based systems without requiring any additional movements of the upper extremities.
Sponsorship	IEEE Ind. Electron. Soc.
Starting Page	1499
Ending Page	1505
File Size	834427
Page Count	7
File Format	PDF
ISSN	21530858
DOI	10.1109/IROS.2013.6696547
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tongue Switches Decoding Prosthetic hand Electrodes
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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