Literature DB >> 22402709

Enhanced visual feedback for slip prevention with a prosthetic hand.

Erik D Engeberg1, Sanford Meek.   

Abstract

BACKGROUND: Upper limb amputees have no direct sense of the grip force applied by a prosthetic hand; thus, precise control of the applied grip force is difficult for amputees. Since there is little object deformation when rigid objects are grasped, it is difficult for amputees to visually gauge the applied grip force in this situation.
OBJECTIVES: To determine if the applied grip force from a prosthetic hand can be visually displayed and used to more efficaciously grasp objects. STUDY
DESIGN: Experimental controlled trial.
METHODS: Force feedback is used in the control algorithm for the prosthetic hand and supplied visually to the user through a bicolor LED experimentally mounted to the thumb. Several experiments are performed by able-bodied test subjects to rate the usefulness of the additional visual feedback when manipulating a clearly visible, brittle object that can break if grasped too firmly. A hybrid force-velocity sliding mode controller is used with and without additional visual force feedback supplied to the operators.
RESULTS: Subjective evaluations and success rates from the test subjects indicate a statistically significant reduction in breaking the grasped object when using the prosthesis with the extra visual feedback.
CONCLUSIONS: The additional visual force feedback can effectively facilitate the manipulation of brittle objects. Clinical relevance The novel approach of this research is the implementation of a noninvasive, effective and economic technique to visually indicate the grip force applied by a prosthetic hand to upper limb amputees. This technique provides a statistically significant improvement when handling brittle objects.

Mesh:

Year:  2012        PMID: 22402709     DOI: 10.1177/0309364612440077

Source DB:  PubMed          Journal:  Prosthet Orthot Int        ISSN: 0309-3646            Impact factor:   1.895


  8 in total

1.  Internal models of upper limb prosthesis users when grasping and lifting a fragile object with their prosthetic limb.

Authors:  Peter S Lum; Iian Black; Rahsaan J Holley; Jessica Barth; Alexander W Dromerick
Journal:  Exp Brain Res       Date:  2014-08-21       Impact factor: 1.972

2.  Neuromimetic Event-Based Detection for Closed-Loop Tactile Feedback Control of Upper Limb Prostheses.

Authors:  Luke Osborn; Rahul Kaliki; Alcimar Soares; Nitish Thakor
Journal:  IEEE Trans Haptics       Date:  2016-05-09       Impact factor: 2.487

3.  Evaluation of auditory and visual feedback for airflow interruption.

Authors:  Matthew R Hoffman; Adam L Rieves; Ketan Surender; Erin E Devine; Jack J Jiang
Journal:  J Voice       Date:  2012-12-29       Impact factor: 2.009

4.  Changes in performance over time while learning to use a myoelectric prosthesis.

Authors:  Hanneke Bouwsema; Corry K van der Sluis; Raoul M Bongers
Journal:  J Neuroeng Rehabil       Date:  2014-02-25       Impact factor: 4.262

5.  Effect of feedback during virtual training of grip force control with a myoelectric prosthesis.

Authors:  Hanneke Bouwsema; Corry K van der Sluis; Raoul M Bongers
Journal:  PLoS One       Date:  2014-05-27       Impact factor: 3.240

6.  Learning to use a body-powered prosthesis: changes in functionality and kinematics.

Authors:  Laura H B Huinink; Hanneke Bouwsema; Dick H Plettenburg; Corry K van der Sluis; Raoul M Bongers
Journal:  J Neuroeng Rehabil       Date:  2016-10-07       Impact factor: 4.262

7.  Human-Inspired Reflex to Autonomously Prevent Slip of Grasped Objects Rotated with a Prosthetic Hand.

Authors:  Zachary Ray; Erik D Engeberg
Journal:  J Healthc Eng       Date:  2018-06-24       Impact factor: 2.682

8.  Evaluation of Optimal Vibrotactile Feedback for Force-Controlled Upper Limb Myoelectric Prostheses.

Authors:  Andrea Gonzalez-Rodriguez; Jose L Ramon; Vicente Morell; Gabriel J Garcia; Jorge Pomares; Carlos A Jara; Andres Ubeda
Journal:  Sensors (Basel)       Date:  2019-11-28       Impact factor: 3.576

  8 in total

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