Dimensional Reduction of High-Frequencey Accelerations for Haptic Rendering

Loading...
Thumbnail Image

Degree type

Discipline

Subject

GRASP
haptic feedback
vibrations
measurement-based modeling

Funder

Grant number

License

Copyright date

Distributor

Related resources

Author

McMahan, William
Landin, Nils
Romano, Joseph M

Contributor

Abstract

Haptics research has seen several recent efforts at understanding and recreating real vibrations to improve the quality of haptic feedback in both virtual environments and teleoperation. To simplify the modeling process and enable the use of single-axis actuators, these previous efforts have used just one axis of a three-dimensional vibration signal, even though the main vibration mechanoreceptors in the hand are know to detect vibrations in all directions. Furthermore, the fact that these mechanoreceptors are largely insensitive to the direction of high-frequency vibrations points to the existence of a transformation that can reduce three-dimensional high-frequency vibration signals to a one-dimensional signal without appreciable perceptual degradation. After formalizing the requirements for this transformation, this paper describes and compares several candidate methods of varying degrees of sophistication, culminating in a novel frequency-domain solution that performs very well on our chosen metrics.

Advisor

Date of presentation

2010-07-01

Conference name

Departmental Papers (MEAM)

Conference dates

2023-05-17T07:08:31.000

Conference location

Date Range for Data Collection (Start Date)

Date Range for Data Collection (End Date)

Digital Object Identifier

Series name and number

Volume number

Issue number

Publisher

Publisher DOI

relationships.isJournalIssueOf

Comments

N. Landin, J. M. Romano, W. McMahan, and K. J. Kuchenbecker. Dimensional reduction of high-frequency accelerations for haptic rendering. In Proceedings, EuroHaptics, pages 79-86, July 2010. doi: http://dx.doi.org/10.1007/978-3-642-14075-4_12 The final publication is available at http://www.springerlink.com/

Recommended citation

Collection