Literature DB >> 17550870

Visual and haptic feedback contribute to tuning and online control during object manipulation.

Felix C Huang1, R Brent Gillespie, Arthur D Kuo.   

Abstract

The authors employed a virtual environment to investigate how humans use haptic and visual feedback in a simple, rhythmic object-manipulation task. The authors hypothesized that feedback would help participants identify the appropriate resonant frequency and perform online control adjustments. The 1st test was whether sensory feedback is needed at all; the 2nd was whether the motor system combines visual and haptic feedback to improve performance. Task performance was quantified in terms of work performed on the virtual inertia, ability to identify the correct rhythm, and variability of movement. Strict feedforward control was found to be ineffective for this task, even when participants had previous knowledge of the rhythm. Participants (N = 11) performed far better when feedback was available (11 times more work, 2.2 times more precise frequency, 30% less variability; p < .05 for all 3 performance measures). Using sensory feedback, participants were able to rapidly identify 4 different spring-inertia systems without foreknowledge of the corresponding resonant frequencies. They performed over 20% more work with 24% less variability when provided with both visual and haptic feedback than they did with either feedback channel alone (p < .05), providing evidence that they integrated online sensory channels. Whereas feedforward control alone led to poor performance, feedback control led to fast tuning or calibration of control according to the resonant frequency of the object, and to better control of the rhythmic movement itself.

Entities:  

Mesh:

Year:  2007        PMID: 17550870     DOI: 10.3200/JMBR.39.3.179-193

Source DB:  PubMed          Journal:  J Mot Behav        ISSN: 0022-2895            Impact factor:   1.328


  16 in total

1.  Manual skill generalization enhanced by negative viscosity.

Authors:  Felix C Huang; James L Patton; Ferdinando A Mussa-Ivaldi
Journal:  J Neurophysiol       Date:  2010-07-21       Impact factor: 2.714

2.  Individual patterns of motor deficits evident in movement distribution analysis.

Authors:  Felix C Huang; James L Patton
Journal:  IEEE Int Conf Rehabil Robot       Date:  2013-06

3.  Object manipulation improvements due to single session training outweigh the differences among stimulation sites during vibrotactile feedback.

Authors:  Cara E Stepp; Yoky Matsuoka
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2011-10-06       Impact factor: 3.802

4.  Predictability, force, and (anti)resonance in complex object control.

Authors:  Pauline Maurice; Neville Hogan; Dagmar Sternad
Journal:  J Neurophysiol       Date:  2018-04-18       Impact factor: 2.714

Review 5.  Predictability and Robustness in the Manipulation of Dynamically Complex Objects.

Authors:  Dagmar Sternad; Christopher J Hasson
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

6.  Robot-amplified manual exploration improves load identification.

Authors:  F C Huang; J L Patton; F A Mussa-Ivaldi
Journal:  IFMBE Proc       Date:  2009-09

7.  Vibrotactile sensory substitution for object manipulation: amplitude versus pulse train frequency modulation.

Authors:  Cara E Stepp; Yoky Matsuoka
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2011-10-13       Impact factor: 3.802

Review 8.  Sensorimotor training in virtual reality: a review.

Authors:  Sergei V Adamovich; Gerard G Fluet; Eugene Tunik; Alma S Merians
Journal:  NeuroRehabilitation       Date:  2009       Impact factor: 2.138

9.  Combined Auditory and Vibrotactile Feedback for Human-Machine-Interface Control.

Authors:  Elias B Thorp; Eric Larson; Cara E Stepp
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2013-07-31       Impact factor: 3.802

10.  A pilot study of sensory feedback by transcutaneous electrical nerve stimulation to improve manipulation deficit caused by severe sensory loss after stroke.

Authors:  Kahori Kita; Yohei Otaka; Kotaro Takeda; Sachiko Sakata; Junichi Ushiba; Kunitsugu Kondo; Meigen Liu; Rieko Osu
Journal:  J Neuroeng Rehabil       Date:  2013-06-13       Impact factor: 4.262

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.