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Author Hee-Tae Jung ♦ Freedman, R.G. ♦ Takahashi, T. ♦ Jay Ming Wong ♦ Zilberstein, S. ♦ Grupen, R.A. ♦ Yu-kyong Choe
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Adaptation models ♦ Target tracking ♦ Medical treatment ♦ Games ♦ Feature extraction ♦ Joints ♦ Robots
Abstract This paper considers a data-driven framework to model target selection strategies using runtime kinematic parameters of individual patients. These models can be used to select new exercise targets that conform with the decision criteria of the therapist. We present the results from a single-subject case study with a manually written target selection function. Motivated by promising results, we propose a framework to learning customized/adaptive therapy models for individual patients. Through the data collected from a normally functioning adult, we demonstrate that it is feasible to model varying strategies from the demonstration of target selection.
Description Author affiliation: Coll. of Inf. & Comput. Sci., Univ. of Massachusetts Amherst, Amherst, MA, USA (Hee-Tae Jung; Freedman, R.G.; Takahashi, T.; Jay Ming Wong; Zilberstein, S.; Grupen, R.A.) || Dept. of Commun. Disorders, Univ. of Massachusetts Amherst, Amherst, MA, USA (Yu-kyong Choe)
ISSN 19457901
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-08-11
Publisher Place Singapore
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781479918089
Size (in Bytes) 573.31 kB
Page Count 6
Starting Page 950
Ending Page 955


Source: IEEE Xplore Digital Library