ENTROPiA: Towards Infinite Surface Haptic Displays in Virtual Reality Using Encountered-Type Rotating Props - Archive ouverte HAL Access content directly
Journal Articles IEEE Transactions on Visualization and Computer Graphics Year : 2021

ENTROPiA: Towards Infinite Surface Haptic Displays in Virtual Reality Using Encountered-Type Rotating Props

(1) , (2) , (1)
1
2

Abstract

In this article, we propose an approach towards an infinite surface haptic display. Our approach, named ENcountered-Type ROtating Prop Approach (ENTROPiA) is based on a cylindrical spinning prop attached to a robot's end-effector serving as an encountered-type haptic display (ETHD). This type of haptic display permits the users to have an unconstrained, free-hand contact with a surface being provided by a robotic device for the users' to encounter a surface to be touched. In our approach, the sensation of touching a virtual surface is given by an interaction technique that couples with the sliding movement of the prop under the users' finger by tracking their hand location and establishing a path to be explored. This approach enables large motion for a larger surface rendering, permits to render multi-textured haptic feedback, and leverages the ETHD approach introducing large motion and sliding/friction sensations. As a part of our contribution, a proof of concept was designed for illustrating our approach. A user study was conducted to assess the perception of our approach showing a significant performance for rendering the sensation of touching a large flat surface. Our approach could be used to render large haptic surfaces in applications such as rapid prototyping for automobile design.
Fichier principal
Vignette du fichier
ENTROPiA_Final.pdf (10.92 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03139215 , version 1 (11-02-2021)

Identifiers

Cite

Victor Mercado, Maud Marchal, Anatole Lécuyer. ENTROPiA: Towards Infinite Surface Haptic Displays in Virtual Reality Using Encountered-Type Rotating Props. IEEE Transactions on Visualization and Computer Graphics, 2021, 27 (3), pp.2237-2243. ⟨10.1109/TVCG.2019.2963190⟩. ⟨hal-03139215⟩
99 View
207 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More