A multi-purpose tactile sensor inspired by human finger for texture and tissue stiffness detection

Yuhua Zhang, Yuka Mukaibo, Takashi Maeno

研究成果: Conference contribution

21 引用 (Scopus)

抄録

This paper discusses a novel development in estimating the feature of hard lump embedded within a soft tissue with the tactile sensor emulating the major features of a human finger. The aim of this study is to realize precise and quantitative tactile sensing, especially of the stiffness. Since pathology-detection is related to tissue stiffness, stiffness measurement would be of great use to provide insight into disease processes and an aid to diagnosis. When pressed into and scanned over tissue of interest with the tactile sensor proposed, the outputs and variance of the outputs of the tactile sensor depends on the mechanical properties and geometric distribution of the structures within the tissue. The features of interest are the stiffness and the depth of the background tissue and the stiffness, size and location of a hard lump emulating the hard tumor. A finite element model was constructed in order to simulate the tactile process. The analysis was performed on models spanning an experimentally determined range of material properties. By analyzing the simulations in groups, we were able to estimate the tendency of the tissue stiffness, location and size information from tactile sensing. Results show the potential of our approach.

元の言語English
ホスト出版物のタイトル2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006
ページ159-164
ページ数6
DOI
出版物ステータスPublished - 2006
イベント2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006 - Kunming, China
継続期間: 2006 12 172006 12 20

Other

Other2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006
China
Kunming
期間06/12/1706/12/20

Fingerprint

Textures
Stiffness
Tissue
Sensors
Pathology
Tumors
Materials properties
Mechanical properties

ASJC Scopus subject areas

  • Artificial Intelligence
  • Electrical and Electronic Engineering

これを引用

Zhang, Y., Mukaibo, Y., & Maeno, T. (2006). A multi-purpose tactile sensor inspired by human finger for texture and tissue stiffness detection. : 2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006 (pp. 159-164). [4141857] https://doi.org/10.1109/ROBIO.2006.340351

A multi-purpose tactile sensor inspired by human finger for texture and tissue stiffness detection. / Zhang, Yuhua; Mukaibo, Yuka; Maeno, Takashi.

2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006. 2006. p. 159-164 4141857.

研究成果: Conference contribution

Zhang, Y, Mukaibo, Y & Maeno, T 2006, A multi-purpose tactile sensor inspired by human finger for texture and tissue stiffness detection. : 2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006., 4141857, pp. 159-164, 2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006, Kunming, China, 06/12/17. https://doi.org/10.1109/ROBIO.2006.340351
Zhang Y, Mukaibo Y, Maeno T. A multi-purpose tactile sensor inspired by human finger for texture and tissue stiffness detection. : 2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006. 2006. p. 159-164. 4141857 https://doi.org/10.1109/ROBIO.2006.340351
Zhang, Yuhua ; Mukaibo, Yuka ; Maeno, Takashi. / A multi-purpose tactile sensor inspired by human finger for texture and tissue stiffness detection. 2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006. 2006. pp. 159-164
@inproceedings{f0999ced35a34de88ef5bf9dfa2d877a,
title = "A multi-purpose tactile sensor inspired by human finger for texture and tissue stiffness detection",
abstract = "This paper discusses a novel development in estimating the feature of hard lump embedded within a soft tissue with the tactile sensor emulating the major features of a human finger. The aim of this study is to realize precise and quantitative tactile sensing, especially of the stiffness. Since pathology-detection is related to tissue stiffness, stiffness measurement would be of great use to provide insight into disease processes and an aid to diagnosis. When pressed into and scanned over tissue of interest with the tactile sensor proposed, the outputs and variance of the outputs of the tactile sensor depends on the mechanical properties and geometric distribution of the structures within the tissue. The features of interest are the stiffness and the depth of the background tissue and the stiffness, size and location of a hard lump emulating the hard tumor. A finite element model was constructed in order to simulate the tactile process. The analysis was performed on models spanning an experimentally determined range of material properties. By analyzing the simulations in groups, we were able to estimate the tendency of the tissue stiffness, location and size information from tactile sensing. Results show the potential of our approach.",
keywords = "Lump measurement, Stiffness, Tactile imaging, Tactile perception",
author = "Yuhua Zhang and Yuka Mukaibo and Takashi Maeno",
year = "2006",
doi = "10.1109/ROBIO.2006.340351",
language = "English",
isbn = "1424405718",
pages = "159--164",
booktitle = "2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006",

}

TY - GEN

T1 - A multi-purpose tactile sensor inspired by human finger for texture and tissue stiffness detection

AU - Zhang, Yuhua

AU - Mukaibo, Yuka

AU - Maeno, Takashi

PY - 2006

Y1 - 2006

N2 - This paper discusses a novel development in estimating the feature of hard lump embedded within a soft tissue with the tactile sensor emulating the major features of a human finger. The aim of this study is to realize precise and quantitative tactile sensing, especially of the stiffness. Since pathology-detection is related to tissue stiffness, stiffness measurement would be of great use to provide insight into disease processes and an aid to diagnosis. When pressed into and scanned over tissue of interest with the tactile sensor proposed, the outputs and variance of the outputs of the tactile sensor depends on the mechanical properties and geometric distribution of the structures within the tissue. The features of interest are the stiffness and the depth of the background tissue and the stiffness, size and location of a hard lump emulating the hard tumor. A finite element model was constructed in order to simulate the tactile process. The analysis was performed on models spanning an experimentally determined range of material properties. By analyzing the simulations in groups, we were able to estimate the tendency of the tissue stiffness, location and size information from tactile sensing. Results show the potential of our approach.

AB - This paper discusses a novel development in estimating the feature of hard lump embedded within a soft tissue with the tactile sensor emulating the major features of a human finger. The aim of this study is to realize precise and quantitative tactile sensing, especially of the stiffness. Since pathology-detection is related to tissue stiffness, stiffness measurement would be of great use to provide insight into disease processes and an aid to diagnosis. When pressed into and scanned over tissue of interest with the tactile sensor proposed, the outputs and variance of the outputs of the tactile sensor depends on the mechanical properties and geometric distribution of the structures within the tissue. The features of interest are the stiffness and the depth of the background tissue and the stiffness, size and location of a hard lump emulating the hard tumor. A finite element model was constructed in order to simulate the tactile process. The analysis was performed on models spanning an experimentally determined range of material properties. By analyzing the simulations in groups, we were able to estimate the tendency of the tissue stiffness, location and size information from tactile sensing. Results show the potential of our approach.

KW - Lump measurement

KW - Stiffness

KW - Tactile imaging

KW - Tactile perception

UR - http://www.scopus.com/inward/record.url?scp=46249083571&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=46249083571&partnerID=8YFLogxK

U2 - 10.1109/ROBIO.2006.340351

DO - 10.1109/ROBIO.2006.340351

M3 - Conference contribution

AN - SCOPUS:46249083571

SN - 1424405718

SN - 9781424405718

SP - 159

EP - 164

BT - 2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006

ER -