IEEJ Transactions on Electronics, Information and Systems
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
<Intelligence, Robotics>
Development and Evaluation of a Prediction Model for Tactile Perception based on Kansei Engineering
—A Case Study of Tactile Prediction for Fabrics—
Yoichi YamazakiKensuke TobitaniYusuke TaniMasataka ImuraMitsuhiro KameiNoriko Nagata
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2022 Volume 142 Issue 5 Pages 616-624

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Abstract

In this paper, we propose a method for indexing, analyzing, and evaluating of the stroking movement based on vibration features as a measurement method that mimics the response characteristics of finger associated with active touch. We developed the tactile information acquisition system to obtain the vibration information during stroking. Moreover, the verification experiment was performed using 13 types of cloth selected from the texture sample set. As the result, the two factors (roughness and hardness), which constitute the tactile sensation of the fabric, were extracted. It was also confirmed that the frequency bands of the vibration features extracted during active touch corresponded to the frequency sensitivity characteristics of the four sensory receptors inside the skin. Furthermore, we evaluated the predicted and measured values of each factor, and confirmed that the proposed method can construct a model that accurately predicts the tactile sensation by measuring the vibration of the interaction force on the contact surface. This method realizes the tactile evaluation for a various materials and physical quantities. Then, the method will contribute to the realization of quantitative evaluation of sensibility, which is the key technology to product design based on sensibility value.

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© 2022 by the Institute of Electrical Engineers of Japan
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