Next Article in Journal
Algorithms for Optimal Model Distributions in Adaptive Switching Control Schemes
Next Article in Special Issue
Design and Analysis of a Haptic Device Design for Large and Fast Movements
Previous Article in Journal
Joint Mechanism That Mimics Elastic Characteristics in Human Running
Article Menu

Export Article

Open AccessArticle
Machines 2016, 4(1), 6;

Bidirectional Haptic Communication: Application to the Teaching and Improvement of Handwriting Capabilities

Department of Mechanical Engineering, Université Laval, Québec, QC G1V 0A6, Canada
This paper is an extended version of our paper published in World Haptics Conference (WHC), 2013. Pedemonte, N.; Laliberte, T.; Gosselin, C. A bidirectional haptic device for the training and assessment of handwriting capabilities. In the Proceedings of the World Haptics Conference (WHC), 2013, Daejeon, Korea, 14–18 April 2013; pp. 599–604.
Author to whom correspondence should be addressed.
Academic Editor: David Mba
Received: 19 November 2015 / Revised: 17 December 2015 / Accepted: 29 January 2016 / Published: 15 February 2016
(This article belongs to the Special Issue Mechanisms and Machinery for Haptic Interaction and Rendering)
Full-Text   |   PDF [1988 KB, uploaded 15 February 2016]   |  


The objective of this work is to study the relevance of haptic feedback in remote communication between people. The application is handwriting. A haptic device designed to help people to improve their writing skills is presented. Two experimental sessions are then proposed to a group of people. In the first test, two subjects communicate through a bilateral system by means of a haptic feedback to accomplish the task. Secondly, a blank test is performed. The results of the two tests are compared and analyzed in order to evaluate the importance of the haptic feedback in the context of collaboration between two people. View Full-Text
Keywords: human-human interaction; handwriting; haptics human-human interaction; handwriting; haptics

Figure 1

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).

Share & Cite This Article

MDPI and ACS Style

Pedemonte, N.; Laliberté, T.; Gosselin, C. Bidirectional Haptic Communication: Application to the Teaching and Improvement of Handwriting Capabilities. Machines 2016, 4, 6.

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



[Return to top]
Machines EISSN 2075-1702 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top