skip to main content
10.1145/3453892.3462217acmotherconferencesArticle/Chapter ViewAbstractPublication PagespetraConference Proceedingsconference-collections
research-article

Build-and-Touch: A Low-Cost, DIY, Open-Source Approach Towards Touchable Virtual Reality

Published: 29 June 2021 Publication History

Abstract

Virtual Reality (VR) is attracting more and more attention from academic research and practical application with the current availability of low-cost and end-user friendly devices. In terms of haptic (rather than visual) interaction, however, this technology is still in its infancy and there are few devices that are inexpensive and technologically simple to operate, respectively to procure. In this context, we present a concept of how haptic interaction with VR data gloves can also succeed by means of a commercially available web cam, sophisticated tracking software, and homemade low-cost hardware. All hardware and software components are to be obtained inexpensively or are open-source in order to achieve the greatest possible dissemination potential. With this work, we intend to provide an important trigger for future improvements and dissemination in terms of both technology and areas of application.

References

[1]
Jason P Fritz and Kenneth E Barner. 1999. Design of a haptic data visualization system for people with visual impairments. IEEE Transactions on rehabilitation engineering 7, 3(1999), 372–384.
[2]
Julian Kreimeier, Sebastian Hammer, Daniel Friedmann, Pascal Karg, Clemens Bühner, Lukas Bankel, and Timo Götzelmann. 2019. Evaluation of different types of haptic feedback influencing the task-based presence and performance in virtual reality. In Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments. 289–298.
[3]
Claudio Pacchierotti, Stephen Sinclair, Massimiliano Solazzi, Antonio Frisoli, Vincent Hayward, and Domenico Prattichizzo. 2017. Wearable haptic systems for the fingertip and the hand: taxonomy, review, and perspectives. IEEE transactions on haptics 10, 4 (2017), 580–600.
[4]
Hasti Seifi, Farimah Fazlollahi, Michael Oppermann, John Andrew Sastrillo, Jessica Ip, Ashutosh Agrawal, Gunhyuk Park, Katherine J Kuchenbecker, and Karon E MacLean. 2019. Haptipedia: accelerating haptic device discovery to support interaction & engineering design. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1–12.
[5]
Fan Zhang, Valentin Bazarevsky, Andrey Vakunov, Andrei Tkachenka, George Sung, Chuo-Ling Chang, and Matthias Grundmann. 2020. MediaPipe Hands: On-device Real-time Hand Tracking. arxiv:2006.10214 [cs.CV]

Cited By

View all
  • (2024)Quantifying Similarities Between MediaPipe and a Known Standard to Address Issues in Tracking 2D Upper Limb Trajectories: Proof of Concept StudyJMIR Formative Research10.2196/566828(e56682-e56682)Online publication date: 17-Dec-2024

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
PETRA '21: Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference
June 2021
593 pages
ISBN:9781450387927
DOI:10.1145/3453892
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 June 2021

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Haptic feedback
  2. data gloves
  3. virtual reality

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

PETRA '21

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)9
  • Downloads (Last 6 weeks)0
Reflects downloads up to 22 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Quantifying Similarities Between MediaPipe and a Known Standard to Address Issues in Tracking 2D Upper Limb Trajectories: Proof of Concept StudyJMIR Formative Research10.2196/566828(e56682-e56682)Online publication date: 17-Dec-2024

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media