title: Algorithms for target prediction for computer users with athetosis.
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.
authors.affiliation: University of Valladolid, Spain.
authors.forename: Sergio
authors.initials: S
authors.lastname: Peral Rodriguez
authors.forename: Dan
authors.initials: D
authors.lastname: Ding
authors.forename: Cameron N
authors.initials: CN
authors.lastname: Riviere
mesh_terms: D000465:Algorithms; D001264:Athetosis / Q000503:physiopathology*; D002547:Cerebral Palsy / Q000503:physiopathology; D003198:Computer Simulation; D003200:Computer User Training / Q000379:methods*; D006801:Humans; D008962:Models, Theoretical; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface