The Robotics Institute

Carnegie Mellon Robotics Institute

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract

Athetosis is a movement disorder that afflicts numerous persons with cerebral palsy, resulting in significant problems in their control of computer interfaces. As a step toward increasing the efficiency of icon selection by computer users with athetosis, we have implemented three techniques to reduce the time of target acquisition: transition assistance via directional gain variation based on target prediction during initial movement toward the target, settling assistance via gain reduction when in the vicinity of a predicted target, and expansion of the predicted target as the cursor approaches it. The paper describes each method, and presents results from evaluation of each method using a closed-loop model of a human subject with athetosis, trained using recorded data, at three different severity levels.

Keywords

assistive interfaces, athetosis, movement disorders, filtering

Notes

Sponsor: National Institutes of Health

Associated Center(s) / Consortia: Medical Robotics Technology Center

Associated Lab(s) / Group(s): Surgical Mechatronics Laboratory

Associated Project(s): Joystick Filtering for Movement Disorders

Text Reference

Sergio Peral Rodriguez, Dan Ding, and Cameron Riviere, "Algorithms for target prediction for computer users with athetosis," Proc. 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, September, 2010, pp. 491-494.

BibTeX Reference

@inproceedings{Peral_Rodriguez_2010_6701,
   author = "Sergio {Peral Rodriguez} and Dan Ding and Cameron Riviere",
   title = "Algorithms for target prediction for computer users with athetosis",
   booktitle = "Proc. 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society",
   pages = "491-494",
   month = "September",
   year = "2010",
}

The Robotics Institute

Menu