Adaptive human-machine interface for persons with tremor

Cameron N. Riviere, Nitish V. Thakor

Research output: Contribution to journalConference articlepeer-review

Abstract

A new adaptive filter has been developed to model pathological tremor during human-machine interaction. Operating online, the system suppresses tremor to improve precision in human-machine control. Offline, the system processes recorded data to quantify tremor for clinical use. The filter estimates tremor frequency as well as amplitude, adapting the reference input frequency to follow frequency modulation of tremor. The algorithm is computationally inexpensive and simple to implement in many human-machine interface applications. Experimental results are presented.

Original languageEnglish (US)
Pages (from-to)1193-1194
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume17
Issue number2
StatePublished - Dec 1 1995
EventProceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) - Montreal, Can
Duration: Sep 20 1995Sep 23 1995

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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