Modeling and filtering athetoid movement for assistive computer interfaces

Kevin C. Olds, Sara Sibenaller, Rory A. Cooper, Ding Dan, Cameron N. Riviere

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

Abstract

This paper presents a novel approach to modeling and filtering of athetoid motion for use in assistive computer interfaces during targeting tasks such as clicking on icons. Data were recorded from a subject with athetosis during unassisted icon-clicking trials with an isometric joystick. In order to facilitate development and preliminary testing of filter designs without the cost and difficulty of repeated testing with subjects with athetosis, a quantitative model of the recorded subject data was developed using Pseudoinverse methods. Using this model within the visuomotor control loop for the icon-clicking task, a prediction filter was then developed to reduce the targetacquisition time for the user. The filter consists of an "autoregressive stretching window" system which selects five data points evenly distributed across the input and output histories to predict the intended target, together with a second-order system that smoothes the movement of the cursor. The filter has demonstrated a reduction of up to 49% in target acquisition time in preliminary experiments with the athetoid model.

Original languageEnglish (US)
Title of host publicationProceedings of the 4th IASTED International Conference on Telehealth and Assistive Technologies, Telehealth/AT 2008
Pages123-128
Number of pages6
StatePublished - Dec 1 2008
Event4th IASTED International Conference on Telehealth and Assistive Technologies, Telehealth/AT 2008 - Baltimore, MD, United States
Duration: Apr 16 2008Apr 18 2008

Publication series

NameProceedings of the 4th IASTED International Conference on Telehealth and Assistive Technologies, Telehealth/AT 2008

Other

Other4th IASTED International Conference on Telehealth and Assistive Technologies, Telehealth/AT 2008
CountryUnited States
CityBaltimore, MD
Period4/16/084/18/08

Keywords

  • Athetosis
  • GUIs
  • Human-computer interaction
  • Rehabilitation engineering

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Modeling and filtering athetoid movement for assistive computer interfaces'. Together they form a unique fingerprint.

  • Cite this

    Olds, K. C., Sibenaller, S., Cooper, R. A., Dan, D., & Riviere, C. N. (2008). Modeling and filtering athetoid movement for assistive computer interfaces. In Proceedings of the 4th IASTED International Conference on Telehealth and Assistive Technologies, Telehealth/AT 2008 (pp. 123-128). (Proceedings of the 4th IASTED International Conference on Telehealth and Assistive Technologies, Telehealth/AT 2008).