触動作による弾性計測


"In this study, we present a system that performs natural-touch-based elasticity estimation for an object by using a depth camera. To estimate elasticity, which is defined as an object's Young's modulus, a strain-stress curve is obtained from fingernail images during haptic palpation. From a color image, the proposed system detects a fingernail and extracts 10 feature values related to the contact force; then, it estimates the force using a multiple regression model. Deformation of the object was estimated from the finger's three-dimensional position obtained from both color and depth images. Then, a strain-stress curve was determined using the force and deformation data. Evaluation experiments were designed to obtain the strain-stress curves of five objects from 10 participants; then, the estimation performance was investigated. The results show that the reliable range of sensing was within Young's modulus values of 0.12-5.6 MPa and the precision of the measurement was 55 % of the estimated elasticity."


Publications

  • S. Yoshimoto, Y. Kuroda, and O. Oshiro, Estimation of Object Elasticity by Capturing Fingernail Images during Haptic Palpation. IEEE Transactions on Haptics, Vol.11, No.2, pp.204-211, 2018.
  • S. Yoshimoto, Y. Kuroda, and O. Oshiro, Estimation of Object Elasticity by Capturing Fingernail Images During Haptic Palpation. In Proc. IEEE World Haptics Conference 2019, ToH.03, Tokyo, Japan, 2019.


(c) 2015-2018 Shunsuke Yoshimoto.