An empirical model for multi-contact point haptic network traffic
DOI: 10.4108/immerscom.2009.18
archive: archived pipeline: cataloged verified
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Summary
This paper addresses the challenge of characterizing network traffic generated by multi-contact point haptic devices in Distributed Haptic Virtual Environments (DHVEs). While previous research focused on single contact-point devices, multi-point systems produce complex, interdependent traffic streams that require distinct modeling for effective network support. The study aims to develop an empirical analytical model for this traffic to facilitate simulation and quality of service (QoS) provisioning studies. The experimental setup utilized Immersion Corporation’s CyberGrasp system, a multi-point force-feedback device comprising three components: a CyberGlove with 22 sensors for joint angle measurement, five actuators for force feedback, and a 6-degree-of-freedom position tracker. The system was connected to a server machine, which communicated with a client machine hosting the DHVE over a local IP network. Traffic was captured using a monitoring tool on a third machine to isolate haptic data. Six users performed standardized tasks, including moving virtual objects and causing collisions, while packet traces were recorded. The methodology involved fitting the inter-arrival packet times to five probability distributions (Normal, Lognormal, Gamma, Extreme Value, and Weibull) and validating the fits using the Anderson-Darling goodness-of-fit test. The results indicate that the inter-arrival times for all three CyberGrasp components exhibit either Normal or Weibull distributions, as these were the only distributions to pass the Anderson-Darling test for all users. Specifically, the traffic can be modeled using a Weibull distribution with mean parameters of 13.4118 and 5.828, or a Normal distribution with a mean of 12.4428 and standard deviation of 2.3625. The study also documented specific packet sizes for each component, such as 264 bytes for CyberGlove server-to-client traffic and 442 bytes for CyberGrasp client-to-server traffic. The findings confirm that despite user variability, the traffic characteristics remain consistent enough to be modeled by these specific distributions. The significance of this work lies in the provision of a validated empirical model for multi-contact haptic traffic. This model enables researchers and network engineers to simulate the traffic load generated by such devices, predict network behavior, and determine the necessary QoS provisioning for supporting distributed haptic applications over IP networks. By extending traffic characterization beyond single-point devices, the paper supports the development of robust network architectures for emerging multimodal interactive applications.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-24 |
| archive | success | canonical_url | — | — | 1 | 2026-06-26 |
| extract | success | pdftotext | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-26 |
| chunk | success | chunk | — | — | 1 | 2026-06-26 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-26 |
| enrich | success | openalex | — | — | 1 | 2026-06-26 |
| promote | success | — | — | — | 1 | 2026-06-24 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-26 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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