Wearable Vibrotactile Haptic Device for Stiffness Discrimination during Virtual Interactions

Maereg, Anudalem and Nagar, Atulya K. and Reid, David and Secco, Emanuele Lindo (2017) Wearable Vibrotactile Haptic Device for Stiffness Discrimination during Virtual Interactions. Frontiers in Robotics & AI, Biomedical Robotics, 4. ISSN 2296-9144 (Accepted for Publication)

[thumbnail of frobt-04-00042.pdf]
Preview
Text
frobt-04-00042.pdf - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

In this paper, we discuss the development of cost effective, wireless, and wearable vibrotactile haptic device for stiffness perception during an interaction with virtual objects. Our experimental setup consists of haptic device with five vibrotactile actuators, virtual
reality environment tailored in Unity 3D integrating the Oculus Rift Head Mounted Display (HMD) and the Leap Motion controller. The virtual environment is able to capture touch inputs from users. Interaction forces are then rendered at 500 Hz and fed back to the wearable setup stimulating fingertips with ERM vibrotactile actuators. Amplitude and frequency of vibrations are modulated proportionally to the interaction force to simulate the stiffness of a virtual object. A quantitative and qualitative study is done to compare the discrimination of stiffness on virtual linear spring in three sensory modalities: visual only feedback, tactile only feedback, and their combination. A common psychophysics method called the Two Alternative Forced Choice (2AFC) approach is used for quantitative analysis using Just Noticeable Difference (JND) and Weber Fractions (WF). According to the psychometric experiment result, average Weber fraction values of 0.39 for visual only feedback was improved to 0.25 by adding the tactile feedback.

Item Type: Article
Additional Information and Comments: This Document is Protected by copyright and was first published by Frontiers. All rights reserved. it is reproduced with permission.
Faculty / Department: Faculty of Human and Digital Sciences > Mathematics and Computer Science
Depositing User: Emanuele Secco
Date Deposited: 11 Sep 2017 10:31
Last Modified: 11 Sep 2017 10:31
URI: https://hira.hope.ac.uk/id/eprint/2123

Actions (login required)

View Item View Item