Literature DB >> 18167515

A Feedback-Controlled Interface for Treadmill Locomotion in Virtual Environments.

Lee Lichtenstein1, James Barabas, Russell L Woods, Eli Peli.   

Abstract

Virtual environments (VEs) allow safe, repeatable, and controlled evaluations of obstacle avoidance and navigation performance of people with visual impairments using visual aids. Proper simulation of mobility in a VE requires an interface, which allows subjects to set their walking pace. Using conventional treadmills, the subject can change their walking speed by pushing the tread with their feet, while leveraging handrails or ropes (self-propelled mode). We developed a feedback-controlled locomotion interface that allows the VE workstation to control the speed of the treadmill, based on the position of the user. The position and speed information is also used to implement automated safety measures, so that the treadmill can be halted in case of erratic behavior. We compared the feedback-controlled mode to the self-propelled mode by using speed-matching tasks (follow a moving object or match the speed of an independently moving scene) to measure the efficacy of each mode in maintaining constant subject position, subject control of the treadmill, and subject pulse rates. Additionally, we measured the perception of speed in the VE on each mode. The feedback-controlled mode required less physical exertion than self-propelled. The average position of subjects on the feedback-controlled treadmill was always within a centimeter of the desired position. There was a smaller standard deviation in subject position when using the self-propelled mode than when using the feedback-controlled mode, but the difference averaged less than six centimeters across all subjects walking at a constant speed. Although all subjects underestimated the speed of an independently moving scene at higher speeds, their estimates were more accurate when using the feedback-controlled treadmill than the self-propelled.

Entities:  

Year:  2007        PMID: 18167515      PMCID: PMC2132658          DOI: 10.1145/1227134.1227141

Source DB:  PubMed          Journal:  ACM Trans Appl Percept        ISSN: 1544-3558            Impact factor:   1.550


  21 in total

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Journal:  J Appl Physiol (1985)       Date:  2003-04-11

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Authors:  D D Gottlieb; P Freeman; M Williams
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Authors:  T Prokop; M Schubert; W Berger
Journal:  Exp Brain Res       Date:  1997-03       Impact factor: 1.972

5.  Treadmill vs. floor walking: kinematics, electromyogram, and heart rate.

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Journal:  J Appl Physiol (1985)       Date:  1985-07

6.  Field expansion for homonymous hemianopia by optically induced peripheral exotropia.

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8.  Visual guidance of intercepting a moving target on foot.

Authors:  Brett R Fajen; William H Warren
Journal:  Perception       Date:  2004       Impact factor: 1.490

9.  Visual illusion in virtual world alters women's target-directed walking.

Authors:  Sidhartha Chaudhury; Jane M Eisinger; Lei Hao; John Hicks; Raghu Chivukula; Kathleen A Turano
Journal:  Exp Brain Res       Date:  2004-07-09       Impact factor: 1.972

10.  Behavioral dynamics of steering, obstacle avoidance, and route selection.

Authors:  Brett R Fajen; William H Warren
Journal:  J Exp Psychol Hum Percept Perform       Date:  2003-04       Impact factor: 3.332

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  6 in total

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Authors:  Hyung-Soon Park; Jung Won Yoon; Jonghyun Kim; Kazumi Iseki; Mark Hallett
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2.  Dynamic structure of variability in joint angles and center of mass position during user-driven treadmill walking.

Authors:  Kelley M Kempski; Nicole T Ray; Brian A Knarr; Jill S Higginson
Journal:  Gait Posture       Date:  2019-05-01       Impact factor: 2.840

3.  Reliability of a Feedback-Controlled Treadmill Algorithm Dependent on the User's Behavior.

Authors:  Casey Wiens; Will Denton; Molly Schieber; Ryan Hartley; Vivien Marmelat; Sara Myers; Jennifer Yentes
Journal:  IEEE Int Conf Electro Inf Technol       Date:  2017-10-02

4.  A user-driven treadmill control scheme for simulating overground locomotion.

Authors:  Jonghyun Kim; Christopher J Stanley; Lindsey A Curatalo; Hyung-Soon Park
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

5.  Commercial Motion Sensor Based Low-Cost and Convenient Interactive Treadmill.

Authors:  Jonghyun Kim; Andrew Gravunder; Hyung-Soon Park
Journal:  Sensors (Basel)       Date:  2015-09-17       Impact factor: 3.576

6.  A novel walking speed estimation scheme and its application to treadmill control for gait rehabilitation.

Authors:  Jungwon Yoon; Hyung-Soon Park; Diane Louise Damiano
Journal:  J Neuroeng Rehabil       Date:  2012-08-28       Impact factor: 4.262

  6 in total

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