Abstract
The goal of our study is development of a "tactile mirror" for displaying tactile perception information. A point of distinctive difference between a tactile mirror and conventional tactile displays is that a tactile mirror possesses a feedback mechanism for acquiring the contact state information on the finger pad concerning not force but tactile perception sensation. The primary development concerns human static friction sensation. First, a control method and the structure of a tactile mirror are described. Second, simulation results using FEM for contact analysis and a ANN(Artificial Neural Network) for generating feedback signals are shown. Finally, experiments demonstrating that providing a feedback component accomplish accurate display of static friction sensation with a conventional type of tactile displays.
| Original language | English |
|---|---|
| Pages (from-to) | 1233-1238 |
| Number of pages | 6 |
| Journal | Proceedings - IEEE International Conference on Robotics and Automation |
| Volume | 2004 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2004 |
| Event | Proceedings- 2004 IEEE International Conference on Robotics and Automation - New Orleans, LA, United States Duration: 2004 Apr 26 → 2004 May 1 |
ASJC Scopus subject areas
- Software
- Artificial Intelligence
- Electrical and Electronic Engineering
- Control and Systems Engineering