Next Article in Journal
Fabrication of a Textile-Based Wearable Blood Leakage Sensor Using Screen-Offset Printing
Next Article in Special Issue
Neuromorphic Vibrotactile Stimulation of Fingertips for Encoding Object Stiffness in Telepresence Sensory Substitution and Augmentation Applications
Previous Article in Journal
Sum of the Magnitude for Hard Decision Decoding Algorithm Based on Loop Update Detection
Previous Article in Special Issue
Surgical Dynamometer to Simultaneously Measure the Tension Forces and the Distance between Wound Edges during the Closure of a Laparotomy
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(1), 237; https://doi.org/10.3390/s18010237

Data-Driven Modeling and Rendering of Force Responses from Elastic Tool Deformation

Department of Computer Engineering, Kyung Hee University, Yongin-si 446-701, Korea
*
Author to whom correspondence should be addressed.
Received: 29 November 2017 / Revised: 4 January 2018 / Accepted: 11 January 2018 / Published: 15 January 2018
(This article belongs to the Special Issue Force and Pressure Based Sensing Medical Application)
View Full-Text   |   Download PDF [2095 KB, uploaded 15 January 2018]   |  

Abstract

This article presents a new data-driven model design for rendering force responses from elastic tool deformation. The new design incorporates a six-dimensional input describing the initial position of the contact, as well as the state of the tool deformation. The input-output relationship of the model was represented by a radial basis functions network, which was optimized based on training data collected from real tool-surface contact. Since the input space of the model is represented in the local coordinate system of a tool, the model is independent of recording and rendering devices and can be easily deployed to an existing simulator. The model also supports complex interactions, such as self and multi-contact collisions. In order to assess the proposed data-driven model, we built a custom data acquisition setup and developed a proof-of-concept rendering simulator. The simulator was evaluated through numerical and psychophysical experiments with four different real tools. The numerical evaluation demonstrated the perceptual soundness of the proposed model, meanwhile the user study revealed the force feedback of the proposed simulator to be realistic. View Full-Text
Keywords: haptic rendering; tool deformation; data-driven modeling; force feedback haptic rendering; tool deformation; data-driven modeling; force feedback
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Abdulali, A.; Rakhmatov, R.; Ogay, T.; Jeon, S. Data-Driven Modeling and Rendering of Force Responses from Elastic Tool Deformation. Sensors 2018, 18, 237.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top