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Dataset for influence of visual and haptic feedback on the detection of threshold forces in a surgical grasping task
The data is related to minimal force thresholds perception in robotic surgical grasping applications. The experimental setup included an indenter-based haptic device acting on the fingertip of a participant and a visual system that displays grasping tasks by a surgical grasper. The experiments inclu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943423/ https://www.ncbi.nlm.nih.gov/pubmed/35341034 http://dx.doi.org/10.1016/j.dib.2022.108045 |
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author | Cabibihan, John-John Alhaddad, Ahmad Yaser Gulrez, Tauseef Yoon, W. Jong |
author_facet | Cabibihan, John-John Alhaddad, Ahmad Yaser Gulrez, Tauseef Yoon, W. Jong |
author_sort | Cabibihan, John-John |
collection | PubMed |
description | The data is related to minimal force thresholds perception in robotic surgical grasping applications. The experimental setup included an indenter-based haptic device acting on the fingertip of a participant and a visual system that displays grasping tasks by a surgical grasper. The experiments included the display of two presentations at different force levels (i.e., grasping and indentation) in three different modes, namely, visual-alone, haptic-alone, and bimodal (i.e., combined). For each mode, the participants were asked to identify which of the two presentations was higher. Each experiment was repeated till the termination conditions were met. Sixty participants took part in these experiments. The experiments were randomized and the threshold forces were calculated based on an algorthim. The datasets contain the individual responses of each participant, the threshold forces calculations, and the number of iterations. |
format | Online Article Text |
id | pubmed-8943423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-89434232022-03-25 Dataset for influence of visual and haptic feedback on the detection of threshold forces in a surgical grasping task Cabibihan, John-John Alhaddad, Ahmad Yaser Gulrez, Tauseef Yoon, W. Jong Data Brief Data Article The data is related to minimal force thresholds perception in robotic surgical grasping applications. The experimental setup included an indenter-based haptic device acting on the fingertip of a participant and a visual system that displays grasping tasks by a surgical grasper. The experiments included the display of two presentations at different force levels (i.e., grasping and indentation) in three different modes, namely, visual-alone, haptic-alone, and bimodal (i.e., combined). For each mode, the participants were asked to identify which of the two presentations was higher. Each experiment was repeated till the termination conditions were met. Sixty participants took part in these experiments. The experiments were randomized and the threshold forces were calculated based on an algorthim. The datasets contain the individual responses of each participant, the threshold forces calculations, and the number of iterations. Elsevier 2022-03-11 /pmc/articles/PMC8943423/ /pubmed/35341034 http://dx.doi.org/10.1016/j.dib.2022.108045 Text en © 2022 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Cabibihan, John-John Alhaddad, Ahmad Yaser Gulrez, Tauseef Yoon, W. Jong Dataset for influence of visual and haptic feedback on the detection of threshold forces in a surgical grasping task |
title | Dataset for influence of visual and haptic feedback on the detection of threshold forces in a surgical grasping task |
title_full | Dataset for influence of visual and haptic feedback on the detection of threshold forces in a surgical grasping task |
title_fullStr | Dataset for influence of visual and haptic feedback on the detection of threshold forces in a surgical grasping task |
title_full_unstemmed | Dataset for influence of visual and haptic feedback on the detection of threshold forces in a surgical grasping task |
title_short | Dataset for influence of visual and haptic feedback on the detection of threshold forces in a surgical grasping task |
title_sort | dataset for influence of visual and haptic feedback on the detection of threshold forces in a surgical grasping task |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943423/ https://www.ncbi.nlm.nih.gov/pubmed/35341034 http://dx.doi.org/10.1016/j.dib.2022.108045 |
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