Literature DB >> 26525709

Learning dynamic control of body roll orientation.

Vivekanand Pandey Vimal1,2, James R Lackner3,4,5, Paul DiZio3,4,5.   

Abstract

Our objective was to examine how the control of orientation is learned in a task involving dynamically balancing about an unstable equilibrium point, the gravitational vertical, in the absence of leg reflexes and muscle stiffness. Subjects (n = 10) used a joystick to set themselves to the gravitational vertical while seated in a multi-axis rotation system (MARS) device programmed with inverted pendulum dynamics. The MARS is driven by powerful servomotors and can faithfully follow joystick commands up to 2.5 Hz with a 30-ms latency. To make the task extremely difficult, the pendulum constant was set to 600°/s(2). Each subject participated in five blocks of four trials, with a trial ending after a cumulative 100 s of balancing, excluding reset times when a subject lost control. To characterize performance and learning, we used metrics derived from joystick movements, phase portraits (joystick deflections vs MARS position and MARS velocity vs angular position), and stabilogram diffusion functions. We found that as subjects improved their balancing performance, they did so by making fewer destabilizing joystick movements and reducing the number and duration of joystick commands. The control strategy they acquired involved making more persistent short-term joystick movements, waiting longer before making changes to ongoing motion, and only intervening intermittently.

Entities:  

Keywords:  Dynamic balancing; Gravitational vertical; Orientation; Phase portraits; Stabilogram diffusion function; Vehicle control; Vestibular system

Mesh:

Year:  2015        PMID: 26525709      PMCID: PMC4934175          DOI: 10.1007/s00221-015-4469-4

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  26 in total

1.  Postural control model interpretation of stabilogram diffusion analysis.

Authors:  R J Peterka
Journal:  Biol Cybern       Date:  2000-04       Impact factor: 2.086

2.  On-off intermittency in a human balancing task.

Authors:  Juan L Cabrera; John G Milton
Journal:  Phys Rev Lett       Date:  2002-09-20       Impact factor: 9.161

3.  The role of balance dynamics in the active perception of orientation.

Authors:  G E Riccio; E J Martin; T A Stoffregen
Journal:  J Exp Psychol Hum Percept Perform       Date:  1992-08       Impact factor: 3.332

4.  Control and estimation of posture during quiet stance depends on multijoint coordination.

Authors:  Wei-Li Hsu; John P Scholz; Gregor Schöner; John J Jeka; Tim Kiemel
Journal:  J Neurophysiol       Date:  2007-02-21       Impact factor: 2.714

5.  Human control of an inverted pendulum: is continuous control necessary? Is intermittent control effective? Is intermittent control physiological?

Authors:  Ian D Loram; Henrik Gollee; Martin Lakie; Peter J Gawthrop
Journal:  J Physiol       Date:  2010-11-22       Impact factor: 5.182

6.  Computation of inertial motion: neural strategies to resolve ambiguous otolith information.

Authors:  D E Angelaki; M Q McHenry; J D Dickman; S D Newlands; B J Hess
Journal:  J Neurosci       Date:  1999-01-01       Impact factor: 6.167

7.  The increased sensitivity of irregular peripheral canal and otolith vestibular afferents optimizes their encoding of natural stimuli.

Authors:  Adam D Schneider; Mohsen Jamali; Jerome Carriot; Maurice J Chacron; Kathleen E Cullen
Journal:  J Neurosci       Date:  2015-04-08       Impact factor: 6.167

8.  Humans use internal models to estimate gravity and linear acceleration.

Authors:  D M Merfeld; L Zupan; R J Peterka
Journal:  Nature       Date:  1999-04-15       Impact factor: 49.962

9.  Open-loop and closed-loop control of posture: a random-walk analysis of center-of-pressure trajectories.

Authors:  J J Collins; C J De Luca
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

10.  The relative roles of feedforward and feedback in the control of rhythmic movements.

Authors:  Arthur D Kuo
Journal:  Motor Control       Date:  2002-04       Impact factor: 1.422

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  5 in total

1.  Learning dynamic control of body yaw orientation.

Authors:  Vivekanand Pandey Vimal; James R Lackner; Paul DiZio
Journal:  Exp Brain Res       Date:  2018-03-06       Impact factor: 1.972

2.  Learning dynamic balancing in the roll plane with and without gravitational cues.

Authors:  Vivekanand Pandey Vimal; Paul DiZio; James R Lackner
Journal:  Exp Brain Res       Date:  2017-08-28       Impact factor: 1.972

3.  Human manual control precision depends on vestibular sensory precision and gravitational magnitude.

Authors:  Marissa J Rosenberg; Raquel C Galvan-Garza; Torin K Clark; David P Sherwood; Laurence R Young; Faisal Karmali
Journal:  J Neurophysiol       Date:  2018-10-31       Impact factor: 2.714

4.  Learning and long-term retention of dynamic self-stabilization skills.

Authors:  Vivekanand Pandey Vimal; Paul DiZio; James R Lackner
Journal:  Exp Brain Res       Date:  2019-08-23       Impact factor: 1.972

5.  Crash Prediction Using Deep Learning in a Disorienting Spaceflight Analog Balancing Task.

Authors:  Yonglin Wang; Jie Tang; Vivekanand Pandey Vimal; James R Lackner; Paul DiZio; Pengyu Hong
Journal:  Front Physiol       Date:  2022-01-28       Impact factor: 4.566

  5 in total

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