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Tactile Evaluation Feedback System for Multi-Layered Structure Inspired by Human Tactile Perception Mechanism
Tactile sensation is one type of valuable feedback in evaluating a product. Conventionally, sensory evaluation is used to get direct subjective responses from the consumers, in order to improve the product’s quality. However, this method is a time-consuming and costly process. Therefore, this paper...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712818/ https://www.ncbi.nlm.nih.gov/pubmed/29137128 http://dx.doi.org/10.3390/s17112601 |
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author | Mohamad Hashim, Iza Husna Kumamoto, Shogo Takemura, Kenjiro Maeno, Takashi Okuda, Shin Mori, Yukio |
author_facet | Mohamad Hashim, Iza Husna Kumamoto, Shogo Takemura, Kenjiro Maeno, Takashi Okuda, Shin Mori, Yukio |
author_sort | Mohamad Hashim, Iza Husna |
collection | PubMed |
description | Tactile sensation is one type of valuable feedback in evaluating a product. Conventionally, sensory evaluation is used to get direct subjective responses from the consumers, in order to improve the product’s quality. However, this method is a time-consuming and costly process. Therefore, this paper proposes a novel tactile evaluation system that can give tactile feedback from a sensor’s output. The main concept of this system is hierarchically layering the tactile sensation, which is inspired by the flow of human perception. The tactile sensation is classified from low-order of tactile sensation (LTS) to high-order of tactile sensation (HTS), and also to preference. Here, LTS will be correlated with physical measures. Furthermore, the physical measures that are used to correlate with LTS are selected based on four main aspects of haptic information (roughness, compliance, coldness, and slipperiness), which are perceived through human tactile sensors. By using statistical analysis, the correlation between each hierarchy was obtained, and the preference was derived in terms of physical measures. A verification test was conducted by using unknown samples to determine the reliability of the system. The results showed that the system developed was capable of estimating preference with an accuracy of approximately 80%. |
format | Online Article Text |
id | pubmed-5712818 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57128182017-12-07 Tactile Evaluation Feedback System for Multi-Layered Structure Inspired by Human Tactile Perception Mechanism Mohamad Hashim, Iza Husna Kumamoto, Shogo Takemura, Kenjiro Maeno, Takashi Okuda, Shin Mori, Yukio Sensors (Basel) Article Tactile sensation is one type of valuable feedback in evaluating a product. Conventionally, sensory evaluation is used to get direct subjective responses from the consumers, in order to improve the product’s quality. However, this method is a time-consuming and costly process. Therefore, this paper proposes a novel tactile evaluation system that can give tactile feedback from a sensor’s output. The main concept of this system is hierarchically layering the tactile sensation, which is inspired by the flow of human perception. The tactile sensation is classified from low-order of tactile sensation (LTS) to high-order of tactile sensation (HTS), and also to preference. Here, LTS will be correlated with physical measures. Furthermore, the physical measures that are used to correlate with LTS are selected based on four main aspects of haptic information (roughness, compliance, coldness, and slipperiness), which are perceived through human tactile sensors. By using statistical analysis, the correlation between each hierarchy was obtained, and the preference was derived in terms of physical measures. A verification test was conducted by using unknown samples to determine the reliability of the system. The results showed that the system developed was capable of estimating preference with an accuracy of approximately 80%. MDPI 2017-11-11 /pmc/articles/PMC5712818/ /pubmed/29137128 http://dx.doi.org/10.3390/s17112601 Text en © 2017 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 Mohamad Hashim, Iza Husna Kumamoto, Shogo Takemura, Kenjiro Maeno, Takashi Okuda, Shin Mori, Yukio Tactile Evaluation Feedback System for Multi-Layered Structure Inspired by Human Tactile Perception Mechanism |
title | Tactile Evaluation Feedback System for Multi-Layered Structure Inspired by Human Tactile Perception Mechanism |
title_full | Tactile Evaluation Feedback System for Multi-Layered Structure Inspired by Human Tactile Perception Mechanism |
title_fullStr | Tactile Evaluation Feedback System for Multi-Layered Structure Inspired by Human Tactile Perception Mechanism |
title_full_unstemmed | Tactile Evaluation Feedback System for Multi-Layered Structure Inspired by Human Tactile Perception Mechanism |
title_short | Tactile Evaluation Feedback System for Multi-Layered Structure Inspired by Human Tactile Perception Mechanism |
title_sort | tactile evaluation feedback system for multi-layered structure inspired by human tactile perception mechanism |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712818/ https://www.ncbi.nlm.nih.gov/pubmed/29137128 http://dx.doi.org/10.3390/s17112601 |
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