Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)

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Efficient Multi-Resolution Haptic Rendering for Real-Time Applications

Authors
Shyam Maheshwari1, *, Hemant Makwana1
1Institute of Engg. and Tech., Devi Ahilya University, Khandwa Road, Indore, Madhya Pradesh, 452001, India
*Corresponding author. Email: shyamrjit@gmail.com
Corresponding Author
Shyam Maheshwari
Available Online 26 May 2025.
DOI
10.2991/978-94-6463-716-8_56How to use a DOI?
Keywords
Haptic Rendering; Multi-Resolution; Real-Time Feedback; Tactile Interaction; Haptic Signal Processing
Abstract

Haptic rendering is essential for developing immersive virtual environments and providing tactile feedback using computational techniques. This study assesses five haptic rendering techniques multiresolution, image-based, edge detection, Fourier transform, and height map utilizing a varied dataset of surface textures. Performance parameters, including computing time, memory use, signal entropy, and signal to-noise ratio (SNR), were evaluated to benchmark the methodologies. The multi-resolution technique proved to be the most efficient, attaining the minimal calculation time of 0.7 ms and a low memory consumption of 0.3 KB while preserving a strong equilibrium of signal entropy (4.75) and SNR (5.7 dB). Visual representations of haptic signals emphasize the multi-resolution method’s capacity to harmonize computing efficiency with precise and distinct tactile feedback, rendering it exceptionally appropriate for real-time applications in virtual reality, teleoperation, and medical simulations. This study offers a mathematical basis for the selection and optimization of haptic rendering techniques in practical, performance-sensitive systems.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
26 May 2025
ISBN
978-94-6463-716-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-716-8_56How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shyam Maheshwari
AU  - Hemant Makwana
PY  - 2025
DA  - 2025/05/26
TI  - Efficient Multi-Resolution Haptic Rendering for Real-Time Applications
BT  - Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
PB  - Atlantis Press
SP  - 747
EP  - 764
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-716-8_56
DO  - 10.2991/978-94-6463-716-8_56
ID  - Maheshwari2025
ER  -