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Assistive Handlebar Based on Tactile Sensors: Control Inputs and Human Factors
Tactile sensors can be used to build human-machine interfaces, for instance in isometric joysticks or handlebars. When used as input sensor device for control, questions arise related to the contact with the human, which involve ergonomic aspects. This paper focuses on the example application of dri...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111261/ https://www.ncbi.nlm.nih.gov/pubmed/30061541 http://dx.doi.org/10.3390/s18082471 |
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author | Trujillo-León, Andrés Bachta, Wael Castellanos-Ramos, Julián Vidal-Verdú, Fernando |
author_facet | Trujillo-León, Andrés Bachta, Wael Castellanos-Ramos, Julián Vidal-Verdú, Fernando |
author_sort | Trujillo-León, Andrés |
collection | PubMed |
description | Tactile sensors can be used to build human-machine interfaces, for instance in isometric joysticks or handlebars. When used as input sensor device for control, questions arise related to the contact with the human, which involve ergonomic aspects. This paper focuses on the example application of driving a powered wheelchair as attendant. Since other proposals use force and torque sensors as control input variables, this paper explores the relationship between these variables and others obtained from the tactile sensor. For this purpose, a handlebar is instrumented with tactile sensors and a 6-axis force torque sensor. Several experiments are carried out with this handlebar mounted on a wheelchair and also fixed to a table. It is seen that it is possible to obtain variables well correlated with those provided by force and torque sensors. However, it is necessary to contemplate the influence of issues such as the gripping force of the human hand on the sensor or the different kinds of grasps due to different physical constitutions of humans and to the inherent random nature of the grasp. Moreover, it is seen that a first step is necessary where the contact with the hands has to stabilize, and its characteristics and settle time are obtained. |
format | Online Article Text |
id | pubmed-6111261 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61112612018-08-30 Assistive Handlebar Based on Tactile Sensors: Control Inputs and Human Factors Trujillo-León, Andrés Bachta, Wael Castellanos-Ramos, Julián Vidal-Verdú, Fernando Sensors (Basel) Article Tactile sensors can be used to build human-machine interfaces, for instance in isometric joysticks or handlebars. When used as input sensor device for control, questions arise related to the contact with the human, which involve ergonomic aspects. This paper focuses on the example application of driving a powered wheelchair as attendant. Since other proposals use force and torque sensors as control input variables, this paper explores the relationship between these variables and others obtained from the tactile sensor. For this purpose, a handlebar is instrumented with tactile sensors and a 6-axis force torque sensor. Several experiments are carried out with this handlebar mounted on a wheelchair and also fixed to a table. It is seen that it is possible to obtain variables well correlated with those provided by force and torque sensors. However, it is necessary to contemplate the influence of issues such as the gripping force of the human hand on the sensor or the different kinds of grasps due to different physical constitutions of humans and to the inherent random nature of the grasp. Moreover, it is seen that a first step is necessary where the contact with the hands has to stabilize, and its characteristics and settle time are obtained. MDPI 2018-07-30 /pmc/articles/PMC6111261/ /pubmed/30061541 http://dx.doi.org/10.3390/s18082471 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Trujillo-León, Andrés Bachta, Wael Castellanos-Ramos, Julián Vidal-Verdú, Fernando Assistive Handlebar Based on Tactile Sensors: Control Inputs and Human Factors |
title | Assistive Handlebar Based on Tactile Sensors: Control Inputs and Human Factors |
title_full | Assistive Handlebar Based on Tactile Sensors: Control Inputs and Human Factors |
title_fullStr | Assistive Handlebar Based on Tactile Sensors: Control Inputs and Human Factors |
title_full_unstemmed | Assistive Handlebar Based on Tactile Sensors: Control Inputs and Human Factors |
title_short | Assistive Handlebar Based on Tactile Sensors: Control Inputs and Human Factors |
title_sort | assistive handlebar based on tactile sensors: control inputs and human factors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111261/ https://www.ncbi.nlm.nih.gov/pubmed/30061541 http://dx.doi.org/10.3390/s18082471 |
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