Advanced Joystick Algorithms for Computer Access Tasks
To compare 2 correction algorithms and 2 joysticks (a conventional movement-sensing joystick and a custom-designed isometric joystick) in computer access tasks. Repeated-measures, within-subject. National Veterans Wheelchair Games. Fifteen participants with various diagnoses including multiple scler...
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| Published in | PM & R Vol. 7; no. 6; pp. 555 - 561 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Elsevier Inc
01.06.2015
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1934-1482 1934-1563 1934-1563 |
| DOI | 10.1016/j.pmrj.2014.12.009 |
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| Abstract | To compare 2 correction algorithms and 2 joysticks (a conventional movement-sensing joystick and a custom-designed isometric joystick) in computer access tasks.
Repeated-measures, within-subject.
National Veterans Wheelchair Games.
Fifteen participants with various diagnoses including multiple sclerosis, spinal cord injury, traumatic brain injury, Wilson disease, and Parkinson disease.
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.
Trial completion time, reaction time, and trajectory-based measures: movement offset, movement variability, and percentage of out-of-path motion on test tracks.
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.
The joysticks and the advanced correction algorithms show promise for use in wide-ranging applications as control interfaces. |
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| AbstractList | To compare 2 correction algorithms and 2 joysticks (a conventional movement-sensing joystick and a custom-designed isometric joystick) in computer access tasks.
Repeated-measures, within-subject.
National Veterans Wheelchair Games.
Fifteen participants with various diagnoses including multiple sclerosis, spinal cord injury, traumatic brain injury, Wilson disease, and Parkinson disease.
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.
Trial completion time, reaction time, and trajectory-based measures: movement offset, movement variability, and percentage of out-of-path motion on test tracks.
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.
The joysticks and the advanced correction algorithms show promise for use in wide-ranging applications as control interfaces. 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. To compare 2 correction algorithms and 2 joysticks (a conventional movement-sensing joystick and a custom-designed isometric joystick) in computer access tasks.OBJECTIVETo compare 2 correction algorithms and 2 joysticks (a conventional movement-sensing joystick and a custom-designed isometric joystick) in computer access tasks.Repeated-measures, within-subject.DESIGNRepeated-measures, within-subject.National Veterans Wheelchair Games.SETTINGNational Veterans Wheelchair Games.Fifteen participants with various diagnoses including multiple sclerosis, spinal cord injury, traumatic brain injury, Wilson disease, and Parkinson disease.PARTICIPANTSFifteen participants with various diagnoses including multiple sclerosis, spinal cord injury, traumatic brain injury, Wilson disease, and Parkinson disease.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.METHODSA 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.Trial completion time, reaction time, and trajectory-based measures: movement offset, movement variability, and percentage of out-of-path motion on test tracks.MAIN OUTCOME MEASURESTrial completion time, reaction time, and trajectory-based measures: movement offset, movement variability, and percentage of out-of-path motion on test tracks.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.RESULTSThe 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.The joysticks and the advanced correction algorithms show promise for use in wide-ranging applications as control interfaces.CONCLUSIONSThe joysticks and the advanced correction algorithms show promise for use in wide-ranging applications as control interfaces. Abstract 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. |
| Author | Dicianno, Brad E. Mahajan, Harshal Cooper, Rory A. |
| Author_xml | – sequence: 1 givenname: Brad E. surname: Dicianno fullname: Dicianno, Brad E. email: dicianno@pitt.edu organization: Human Engineering Research Laboratories and Center of Excellence in Wheelchairs and Related Technology, VA Pittsburgh HealthCare System, 6425 Penn Avenue, Suite 400, Bakery Square, Pittsburgh, PA 15206; and Department of Rehabilitation Science and Technology and Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA∗ – sequence: 2 givenname: Harshal surname: Mahajan fullname: Mahajan, Harshal organization: Human Engineering Research Laboratories and Center of Excellence in Wheelchairs and Related Technology, VA Pittsburgh HealthCare System, Pittsburgh, PA; Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, PA† – sequence: 3 givenname: Rory A. surname: Cooper fullname: Cooper, Rory A. organization: Human Engineering Research Laboratories and Center of Excellence in Wheelchairs and Related Technology, VA Pittsburgh HealthCare System, Pittsburgh, PA; Department of Rehabilitation Science and Technology, Department of Physical Medicine and Rehabilitation, and Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA‡ |
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| Copyright | 2015 American Academy of Physical Medicine and Rehabilitation American Academy of Physical Medicine and Rehabilitation 2015 by the American Academy of Physical Medicine and Rehabilitation Copyright © 2015 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved. |
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| Snippet | To compare 2 correction algorithms and 2 joysticks (a conventional movement-sensing joystick and a custom-designed isometric joystick) in computer access... Abstract Objective To compare 2 correction algorithms and 2 joysticks (a conventional movement-sensing joystick and a custom-designed isometric joystick) in... Objective To compare 2 correction algorithms and 2 joysticks (a conventional movement‐sensing joystick and a custom‐designed isometric joystick) in computer... |
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| SubjectTerms | Adolescent Adult Aged Aged, 80 and over Algorithms Equipment Design Female Humans Male Middle Aged Nervous System Diseases - physiopathology Nervous System Diseases - psychology Physical Medicine and Rehabilitation Psychomotor Performance - physiology Task Performance and Analysis User-Computer Interface Young Adult |
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| Title | Advanced Joystick Algorithms for Computer Access Tasks |
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