Literature DB >> 21984521

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

Cara E Stepp1, Yoky Matsuoka.   

Abstract

Most hand prostheses do not provide intentional haptic feedback about movement performance; thus users must rely almost completely on visual feedback. This paper focuses on understanding the effects of learning and different stimulation sites when vibrotactile stimulation is used as the intentional haptic feedback. Eighteen unimpaired individuals participated in this study with a robotic interface to manipulate a virtual object with visual and vibrotactile feedback at four body sites (finger, arm, neck, and foot) presented in a random order. All participants showed improvements in object manipulation performance with the addition of vibrotactile feedback. Specifically, performance showed a strong learning effect across time, with learning transferring across different sites of vibrotactile stimulation. The effects of learning over the experiment overshadowed the effects of different stimulation sites. The addition of a cognitive task slowed participants and increased the subjective difficulty. User preference ratings showed no difference in their preference among vibrotactile stimulation sites. These findings indicate that the stimulation site may not be as critical as ensuring adequate training with vibrotactile feedback during object manipulation. Future research to identify improvements in vibrotactile-based feedback parameters with amputees is warranted.

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Year:  2011        PMID: 21984521      PMCID: PMC3401581          DOI: 10.1109/TNSRE.2011.2168981

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  36 in total

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  11 in total

Review 1.  Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review.

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Journal:  Psychon Bull Rev       Date:  2013-02

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Authors:  Luis Vargas; He Helen Huang; Yong Zhu; Xiaogang Hu
Journal:  J Neural Eng       Date:  2021-07-02       Impact factor: 5.379

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Authors:  Cara E Stepp; Qi An; Yoky Matsuoka
Journal:  PLoS One       Date:  2012-02-27       Impact factor: 3.240

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Journal:  J Neuroeng Rehabil       Date:  2015-03-24       Impact factor: 4.262

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Authors:  Abbas Orand; Eren Erdal Aksoy; Hiroyuki Miyasaka; Carolyn Weeks Levy; Xin Zhang; Carlo Menon
Journal:  Sensors (Basel)       Date:  2019-08-08       Impact factor: 3.576

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Authors:  Nikola Jorgovanovic; Strahinja Dosen; Damir J Djozic; Goran Krajoski; Dario Farina
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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

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