TY - JOUR
T1 - Advanced Joystick Algorithms for Computer Access Tasks
AU - Dicianno, Brad E.
AU - Mahajan, Harshal
AU - Cooper, Rory A.
N1 - Funding Information:
Funding was provided by the Rehabilitation Medicine Scientist Training Program National Institute of Health (NIH) K12 Award ( K12HD01097 ). This material is the result of work supported with resources and the use of facilities at the Human Engineering Research Laboratories, VA Pittsburgh Healthcare System. The contents of this publication do not represent the views of the Department of Veterans Affairs or the United States Government. No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the authors or upon any organization with which the authors are associated.
Funding Information:
Funding was provided by the Rehabilitation Medicine Scientist Training Program National Institutes of Health (NIH) K12 Award (K12HD01097). This material is the result of work supported with resources and the use of facilities at the Human Engineering Research Laboratories, VA Pittsburgh Healthcare System. The contents of this publication do not represent the views of the Department of Veterans Affairs or the United States Government. No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the authors or upon any organization with which the authors are associated. This study does not involve a Food and Drug Administration–regulated medical device. CME Question
Publisher Copyright:
© 2015 American Academy of Physical Medicine and Rehabilitation.
PY - 2015/6/1
Y1 - 2015/6/1
N2 - Objective: To compare 2 correction algorithms and 2 joysticks (a conventional movement-sensing joystick and a custom-designed isometric joystick) in computer access tasks. Design: Repeated-measures, within-subject. Setting: National Veterans Wheelchair Games. Participants: Fifteen participants with various diagnoses including multiple sclerosis, spinal cord injury, traumatic brain injury, Wilson disease, and Parkinson disease. Methods: A computer access test scenario was used to evaluate the effects of applying proportional integral derivative (PID)-based and least means-based algorithms to suppress unintentional cursor motions by users with upper extremity spasticity. Main Outcome Measures: Trial completion time, reaction time, and trajectory-based measures: movement offset, movement variability, and percentage of out-of-path motion on test tracks. Results: The quantitative outcome measures showed a high correlation with clinical measures for spasticity and functional independence. On small test tracks, compared to when no correction algorithms were used, both algorithms performed equally well in suppressing unintentional cursor motions. On longer test tracks, participants navigated most accurately while using the PID algorithm. Participants moved the cursor more accurately using the isometric joystick compared to the movement-sensing joystick, with only a slight increase in the task completion times. Conclusions: The joysticks and the advanced correction algorithms show promise for use in wide-ranging applications as control interfaces.
AB - Objective: To compare 2 correction algorithms and 2 joysticks (a conventional movement-sensing joystick and a custom-designed isometric joystick) in computer access tasks. Design: Repeated-measures, within-subject. Setting: National Veterans Wheelchair Games. Participants: Fifteen participants with various diagnoses including multiple sclerosis, spinal cord injury, traumatic brain injury, Wilson disease, and Parkinson disease. Methods: A computer access test scenario was used to evaluate the effects of applying proportional integral derivative (PID)-based and least means-based algorithms to suppress unintentional cursor motions by users with upper extremity spasticity. Main Outcome Measures: Trial completion time, reaction time, and trajectory-based measures: movement offset, movement variability, and percentage of out-of-path motion on test tracks. Results: The quantitative outcome measures showed a high correlation with clinical measures for spasticity and functional independence. On small test tracks, compared to when no correction algorithms were used, both algorithms performed equally well in suppressing unintentional cursor motions. On longer test tracks, participants navigated most accurately while using the PID algorithm. Participants moved the cursor more accurately using the isometric joystick compared to the movement-sensing joystick, with only a slight increase in the task completion times. Conclusions: The joysticks and the advanced correction algorithms show promise for use in wide-ranging applications as control interfaces.
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U2 - 10.1016/j.pmrj.2014.12.009
DO - 10.1016/j.pmrj.2014.12.009
M3 - Article
C2 - 25595664
AN - SCOPUS:84930766249
VL - 7
SP - 555
EP - 561
JO - PM and R
JF - PM and R
SN - 1934-1482
IS - 6
ER -