Literature DB >> 10912342

Effectiveness of supplemental grasp-force feedback in the presence of vision.

M Zafar1, C L Van Doren.   

Abstract

Previous studies have shown that supplemental grasp-force feedback can improve control for users of a hand prosthesis or neuroprosthesis under conditions where vision provides little force information. Visual cues of force are widely available in everyday use, however, and may obviate the utility of supplemental force information. The purpose of the present study was to use a video-based hand neuroprosthesis simulator to determine whether grasp-force feedback can improve control in the presence of realistic visual information. Seven able-bodied subjects used the simulator to complete a simple grasp-and-hold task while controlling and viewing pre-recorded, digitised video clips of a neuroprosthesis user's hand squeezing a compliant object. The task was performed with and without supplemental force feedback presented via electrocutaneous stimulation. Subjects had to achieve and maintain the (simulated) grasp force within a target window of variable size (+/- 10-40% of full scale). Force feedback improved the success rate significantly for all target window sizes (8-16%, on average), and improved the success rate at all window sizes for six of the seven subjects. Overall, the improvement was equivalent functionally to a 35% increase in the window size. Feedback also allowed subjects to identify the direction of grasp errors more accurately, on average by 10-15%. In some cases, feedback improved the failure identification rate even if success rates were unchanged. It is thus concluded that supplemental grasp-force feedback can improve grasp control even with access to rich visual information from the hand and object.

Entities:  

Mesh:

Year:  2000        PMID: 10912342     DOI: 10.1007/BF02347046

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   3.079


  32 in total

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  9 in total

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Authors:  Sasha B Godfrey; Matteo Bianchi; Antonio Bicchi; Marco Santello
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5.  Myocontrol is closed-loop control: incidental feedback is sufficient for scaling the prosthesis force in routine grasping.

Authors:  Marko Markovic; Meike A Schweisfurth; Leonard F Engels; Dario Farina; Strahinja Dosen
Journal:  J Neuroeng Rehabil       Date:  2018-09-03       Impact factor: 4.262

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Authors:  Ahmed W Shehata; Leonard F Engels; Marco Controzzi; Christian Cipriani; Erik J Scheme; Jonathon W Sensinger
Journal:  J Neuroeng Rehabil       Date:  2018-07-31       Impact factor: 4.262

7.  An exploration of grip force regulation with a low-impedance myoelectric prosthesis featuring referred haptic feedback.

Authors:  Jeremy D Brown; Andrew Paek; Mashaal Syed; Marcia K O'Malley; Patricia A Shewokis; Jose L Contreras-Vidal; Alicia J Davis; R Brent Gillespie
Journal:  J Neuroeng Rehabil       Date:  2015-11-25       Impact factor: 4.262

8.  Virtual grasping: closed-loop force control using electrotactile feedback.

Authors:  Nikola Jorgovanovic; Strahinja Dosen; Damir J Djozic; Goran Krajoski; Dario Farina
Journal:  Comput Math Methods Med       Date:  2014-01-02       Impact factor: 2.238

9.  The clinical relevance of advanced artificial feedback in the control of a multi-functional myoelectric prosthesis.

Authors:  Marko Markovic; Meike A Schweisfurth; Leonard F Engels; Tashina Bentz; Daniela Wüstefeld; Dario Farina; Strahinja Dosen
Journal:  J Neuroeng Rehabil       Date:  2018-03-27       Impact factor: 4.262

  9 in total

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