Querying the user properly for high-performance brain-machine interfaces: Recursive estimation, control, and feedback information-theoretic perspectives

Cyrus Omar, Miles Johnson, Timothy W. Bretl, Todd P. Coleman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a complementary approach to the design of neural prosthetic interfaces that goes beyond the standard approach of estimating desired control signals from neural activity. We exploit the fact that the for a user's intended application, the dynamics of the prosthetic in fact impact subsequent desired control inputs. We illustrate that changing the dynamic response of a prosthetic device can make specific tasks significantly easier to accomplish. Our approach relies upon principles from stochastic control and feedback information theory, and we illustrate its effectiveness both theoretically and experimentally - in terms of spelling words from a menu of characters using binary surface electromyography classification.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages5216-5219
Number of pages4
DOIs
StatePublished - Sep 16 2008
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: Mar 31 2008Apr 4 2008

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
CountryUnited States
CityLas Vegas, NV
Period3/31/084/4/08

Keywords

  • Feedback information theory
  • Interface design
  • Neural prosthetics
  • Stochastic control

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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    Omar, C., Johnson, M., Bretl, T. W., & Coleman, T. P. (2008). Querying the user properly for high-performance brain-machine interfaces: Recursive estimation, control, and feedback information-theoretic perspectives. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (pp. 5216-5219). [4518835] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2008.4518835