Nonlinear tactile estimation model using vibration information from tactile sensor mediated by mechanoreceptors' perceptibility

Momoko Sagara, Lisako Nobuyama, Kenjiro Takemura

研究成果: Conference contribution

抄録

Since tactile sensation is an important factor for products to get added value, tactile sensing attracts huge attentions as tactile quantitative evaluation method. While human tactile perception mechanism has nonlinearity, many of previous studies confined to construct linear regression models to estimate tactile sensation. Hence, this study proposes a nonlinear tactile estimation model of molded plastic plates. We extracted features from vibration information mediated by mechanoreceptors' perceptibility, and the relationship between the tactile evaluation score and extracted features was formulated by constructing regression model including nonlinearity. The result implies what range of vibration information affects each tactile sensation.

本文言語English
ホスト出版物のタイトル2021 IEEE Sensors, SENSORS 2021 - Conference Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728195018
DOI
出版ステータスPublished - 2021
イベント20th IEEE Sensors, SENSORS 2021 - Virtual, Online, Australia
継続期間: 2021 10月 312021 11月 4

出版物シリーズ

名前Proceedings of IEEE Sensors
2021-October
ISSN(印刷版)1930-0395
ISSN(電子版)2168-9229

Conference

Conference20th IEEE Sensors, SENSORS 2021
国/地域Australia
CityVirtual, Online
Period21/10/3121/11/4

ASJC Scopus subject areas

  • 電子工学および電気工学

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