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Perception-Based Data Reduction and Transmission of Haptic Data in Telepresence and Teleaction Systems
Abstract
We present a novel approach for the transmission of haptic data in telepresence and teleaction systems. The goal of this work is to reduce the packet rate between an operator and a teleoperator without impairing the immersiveness of the system. Our approach exploits the properties of human haptic perception and is, more specifically, based on the concept of just noticeable differences. In our scheme, updates of the haptic amplitude values are signaled across the network only if the change of a haptic stimulus is detectable by the human operator. We investigate haptic data communication for a 1 degree-of-freedom (DoF) and a 3 DoF teleaction system. Our experimental results show that the presented approach is able to reduce the packet rate between the operator and teleoperator by up to 90% of the original rate without affecting the performance of the system.
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“As for haptic feedback, Kaber et al. [21], [22] show that latency should be less than 25 ms for accurately completing haptic operations.”
From The IEEE 1918.1 “Tactile Internet” Standards Working Group and its Standards (2019) · cites this paper as [21]
Citations
Cites
Bilateral control of teleoperators with time delay
Anderson, R. J., & Spong, M. W. (1989) · IEEE Transactions on Automatic Control · doi:10.1109/9.24201 · Cited by 2,135
Force and Touch Feedback for Virtual Reality
Burdea, G. (1996) · Cited by 1,017
Supervisory control of remote manipulation
Ferrell, W. R., & Sheridan, T. B. (1967) · IEEE Spectrum · doi:10.1109/mspec.1967.5217126 · Cited by 348
Using deadbands to reduce communication in networked control systems
Otanez, P. G., Moyne, J. R., & Tilbury, D. M. (2002) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2002.1025251 · Cited by 315
Effects of network characteristics on human performance in a collaborative virtual environment
Park, K.-S., & Kenyon, R. V. (2003) · IEEE Virtual Reality (VR) · doi:10.1109/vr.1999.756940 · Cited by 227
Haptic information in Internet-based teleoperation
Elhajj, I. H., Xi, N., Fung, W.-K., Liu, Y. H., Li, W. J., Kaga, T., & Fukuda, T. (2001) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/3516.951367 · Cited by 138
Disposal of explosive ordnances by use of a bimanual haptic telepresence system
Kron, A., Schmidt, G., Petzold, B., Zah, M. I., Hinterseer, P., & Steinbach, E. G. (2004) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2004.1308112 · Cited by 122
Self-citationTouch in Virtual Environments : Haptics and the Design of Interactive Systems
McLaughlin, M. L., Sukhatme, G. S., & Hespanha, J. (2001) · Medical Entomology and Zoology · Cited by 92
A comparison of different haptic compression techniques
Shahabi, C., Ortega, A., & Kolahdouzan, M. R. (2003) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2002.1035867 · Cited by 90
Hinterseer, P., Steinbach, E., Hirche, S., & Buss, M. (2006) · Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005. · doi:10.1109/icassp.2005.1415600 · Cited by 75
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Research works printed but not linked: 4
- ou, 2002, network considerations for a dynamic shared haptic environment, Proc Nat Conf Undergrad Res
- jones, 1992, human operator perception of mechanical variables and their effects on tracking performance, Adv Robot, 42, 49
- greefkes, 1970, code modulation with digitally controlled companding for speech transmission, Philips Tech Rev, 31, 335
- hespanha, 2002, Touch in Virtual Environments Haptics and the Design of Interactive Systems, 158
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Guillotel, P., Muthusamy, Y. K., Galvane, Q., Vezzoli, E., Nockenberg, L., Sodagar, I., Costa, H. D., Hulsken, A., Lécuyer, G., Silva, M. P. D., et al. (2025) · IEEE Transactions on Haptics · doi:10.1109/toh.2025.3539026 · Cited by 5
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Yap, K. M., Tee, T. H., Marshall, A., Eu, K. S., Lee, Y. K., Lee, T.-H., Lim, P. H., & Chook, Y. (2021) · IEEE Access · doi:10.1109/access.2021.3070063 · Cited by 3
Haptics as an Interaction Modality
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Albakri, A. (2015) · theses.fr (ABES) · doi:10.70675/2d7bf556za70bz41ddza4b9z4d9a5c1fcb25 · Cited by 1
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Guo, F. H. (2013) · Advanced materials research · doi:10.4028/www.scientific.net/amr.712-715.2712
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Schauß, T., Passenberg, C., Stefanov, N., Feth, D., Vittorias, I., Peer, A., Hirche, S., BUSS, M. J., Rothbucher, M., Diepold, K. J., et al. (2012) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2012.6224961
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Huynh, L., & Zadeh, M. (2014) · IEEE International Workshop on Haptic Audio visual Environments and Games · doi:10.1109/have.2014.6954340
Texture compensation for haptic feedback signal compression
Brandi, F., Chaudhari, R., & Steinbach, E. G. (2011) · IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS) · doi:10.1109/vecims.2011.6053837
Self-citationAn information-theoretic treatment of passive haptic media
Μουστάκας, Κ., & Lalos, A. S. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-3281-x
Handling haptics as a stand-alone medium
Μουστάκας, Κ. (2013) · Digital Library (University of West Bohemia)
Event-triggered output feedback control for linear systems under tactile communication
Yu, P., Fischione, C., & Dimarogonas, D. V. (2017) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2017.8264466
Experimental evaluation of haptic data communication with prediction
Nasir, Q., & Khalil, E. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-5743-9
The Tactile Internet over 5G FiWi Architectures
Ebrahimzadeh, A., Chowdhury, M., & Maier, M. (2019) · Wiley eBooks · doi:10.1002/9781119491590.ch10
Traces for the Tactile Internet: Architecture, concepts, and evaluations
Seeling, P., Martin Reisslein, B., & Fitzek, F. H. P. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-821343-8.00027-7
Standardization aspects of Tactile applications on Multi-access Edge Computing
Patel, A. S., Gandotra, P., Kumar, R., Kherani, A. A., Lall, B., & Mukherjee, S. (2022) · International Conference on Communication Systems & Networks (COMSNETS) · doi:10.1109/comsnets53615.2022.9668380
Metadata
- Authors
- Hinterseer, P., Hirche, S., Chaudhuri, S., Steinbach, E., & Buss, M.
- Affiliations
- Technical University of Munich (DE)
- Tokyo Institute of Technology (JP)
- Indian Institute of Technology Bombay (IN)
- Venue
- IEEE Transactions on Signal Processing
- Published
- 2008-02
- Volume
- 56
- Issue
- 2
- Pages
- 588-597
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2160966687
- Cited by
- 213
- References
- 29
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 8 · 2023: 7 · 2022: 12 · 2021: 12 · 2020: 12 · 2019: 13 · 2018: 11 · 2017: 15 · 2016: 9 · 2015: 8 · 2014: 19 · 2013: 12 · 2012: 19
- FWCI
- 29.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Signal Processing (publishedVersion)
- DSpace (IIT Bombay) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- telepresence, just noticeable difference, haptic perception, teleoperation
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