Roughness evaluation by wearable tactile sensor utilizing human active sensing

Humans can evaluate roughness on various shaped surfaces. Conventional roughness measurement sensors are difficult to apply to curved surface or small product's surface. In this paper, a simple tactile sensor utilizing human ability based on haptic bidirectionality is developed for the roug...

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Autores principales:	Yoshihiro TANAKA, Yuichiro UEDA, Akihito SANO
Formato:	article
Lenguaje:	EN
Publicado:	The Japan Society of Mechanical Engineers 2016
Materias:	tactile sensor bidirectionality roughness evaluation curved surface wearable sensor Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/76601b2bd89246a3ba3567b52776449b
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spelling	oai:doaj.org-article:76601b2bd89246a3ba3567b52776449b2021-11-26T06:40:17ZRoughness evaluation by wearable tactile sensor utilizing human active sensing2187-974510.1299/mej.15-00460https://doaj.org/article/76601b2bd89246a3ba3567b52776449b2016-03-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/3/2/3_15-00460/_pdf/-char/enhttps://doaj.org/toc/2187-9745Humans can evaluate roughness on various shaped surfaces. Conventional roughness measurement sensors are difficult to apply to curved surface or small product's surface. In this paper, a simple tactile sensor utilizing human ability based on haptic bidirectionality is developed for the roughness evaluation. Humans can move their fingers while perceiving tactile sensations and change exploratory movements like contact force, scanning velocity, direction, etc. according to haptic perception and task objective. Our developed sensor is composed of two microphones and is mounted on a human fingertip. It allows users to touch the object without haptic obstruction. Users can apply the sensor while retaining their normal haptic perception and simultaneously obtaining vibrations and sound based on the mechanical interaction between the finger and the object. First, influence of contact force and scanning velocity on the sensor output is investigated. The experimental results show that the sensor output increases with a rise in the contact force but the influence of the scanning velocity varies between individuals. Then, on the basis of the results, experiment of roughness evaluation is conducted for flat surface and curved surface. A constant normal force and scanning velocity are exerted and the collected sensor output is calibrated by using the sensor output for the middle-roughness sample. The results show that the sensor is capable of evaluating roughness on both flat surface and curved surface in the same rating.Yoshihiro TANAKAYuichiro UEDAAkihito SANOThe Japan Society of Mechanical Engineersarticletactile sensorbidirectionalityroughness evaluationcurved surfacewearable sensorMechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 3, Iss 2, Pp 15-00460-15-00460 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	tactile sensor bidirectionality roughness evaluation curved surface wearable sensor Mechanical engineering and machinery TJ1-1570
spellingShingle	tactile sensor bidirectionality roughness evaluation curved surface wearable sensor Mechanical engineering and machinery TJ1-1570 Yoshihiro TANAKA Yuichiro UEDA Akihito SANO Roughness evaluation by wearable tactile sensor utilizing human active sensing
description	Humans can evaluate roughness on various shaped surfaces. Conventional roughness measurement sensors are difficult to apply to curved surface or small product's surface. In this paper, a simple tactile sensor utilizing human ability based on haptic bidirectionality is developed for the roughness evaluation. Humans can move their fingers while perceiving tactile sensations and change exploratory movements like contact force, scanning velocity, direction, etc. according to haptic perception and task objective. Our developed sensor is composed of two microphones and is mounted on a human fingertip. It allows users to touch the object without haptic obstruction. Users can apply the sensor while retaining their normal haptic perception and simultaneously obtaining vibrations and sound based on the mechanical interaction between the finger and the object. First, influence of contact force and scanning velocity on the sensor output is investigated. The experimental results show that the sensor output increases with a rise in the contact force but the influence of the scanning velocity varies between individuals. Then, on the basis of the results, experiment of roughness evaluation is conducted for flat surface and curved surface. A constant normal force and scanning velocity are exerted and the collected sensor output is calibrated by using the sensor output for the middle-roughness sample. The results show that the sensor is capable of evaluating roughness on both flat surface and curved surface in the same rating.
format	article
author	Yoshihiro TANAKA Yuichiro UEDA Akihito SANO
author_facet	Yoshihiro TANAKA Yuichiro UEDA Akihito SANO
author_sort	Yoshihiro TANAKA
title	Roughness evaluation by wearable tactile sensor utilizing human active sensing
title_short	Roughness evaluation by wearable tactile sensor utilizing human active sensing
title_full	Roughness evaluation by wearable tactile sensor utilizing human active sensing
title_fullStr	Roughness evaluation by wearable tactile sensor utilizing human active sensing
title_full_unstemmed	Roughness evaluation by wearable tactile sensor utilizing human active sensing
title_sort	roughness evaluation by wearable tactile sensor utilizing human active sensing
publisher	The Japan Society of Mechanical Engineers
publishDate	2016
url	https://doaj.org/article/76601b2bd89246a3ba3567b52776449b
work_keys_str_mv	AT yoshihirotanaka roughnessevaluationbywearabletactilesensorutilizinghumanactivesensing AT yuichiroueda roughnessevaluationbywearabletactilesensorutilizinghumanactivesensing AT akihitosano roughnessevaluationbywearabletactilesensorutilizinghumanactivesensing
_version_	1718409726461476864

Roughness evaluation by wearable tactile sensor utilizing human active sensing

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