Algorithms for target prediction for computer users with athetosis

Sergio Peral Rodriguez, Dan Ding, and Cameron Riviere
Proc. 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, October, 2010, pp. 491-494.


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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, October, 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 = "October",
   year = "2010",
}