Tactile evaluation based on human tactile perception mechanism

Emi Asaga, Kenjiro Takemura, Takashi Maeno, Akane Ban, Masayoshi Toriumi

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

This paper presents a novel tactile evaluation method. Although tactile sense is important information for end users to evaluate products, it has not been characterized quantitatively. In order to achieve quantitative characterization of tactile sense, this paper develops a novel tactile evaluation system based on human tactile perception mechanism. In the system, an object, which will be evaluated, is fixed on a sample table rotated with constant speed, and a piezoelectric element is placed in contact with the object surface with constant normal force. Then the piezoelectric element measures the vibration information during experiment. Comparing the vibration information with tactile receptors properties, we could estimate information we are getting during actively touching the object. Comparing the sensory evaluation results with the estimated information, the paper defines three tactile evaluation indexes relating to softness, roughness and preference of the target object.

Original languageEnglish
Pages (from-to)69-75
Number of pages7
JournalSensors and Actuators, A: Physical
Volume203
DOIs
Publication statusPublished - 2013

Fingerprint

Surface roughness
evaluation
Experiments
vibration
softness
roughness
Sensory analysis
estimates
products

Keywords

  • Piezoelectric element
  • Sensor
  • Tactile evaluation
  • Tactile receptor
  • Vibration

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics
  • Electronic, Optical and Magnetic Materials
  • Metals and Alloys
  • Surfaces, Coatings and Films
  • Instrumentation

Cite this

Tactile evaluation based on human tactile perception mechanism. / Asaga, Emi; Takemura, Kenjiro; Maeno, Takashi; Ban, Akane; Toriumi, Masayoshi.

In: Sensors and Actuators, A: Physical, Vol. 203, 2013, p. 69-75.

Research output: Contribution to journalArticle

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