MPEG-7 Description of Haptic Applications Using HAML
Bibliographic record
Abstract
The continuous evolution of computer haptics, as well as the emergence of a wide range of haptic interfaces has recently boosted the haptics domain. Even though efficient tools that support the developer's work exist, little attention is paid to the reuse and compatibility of haptic application constituents. In response to these issues, we propose an XML-based description language, namely Haptic Application Meta Language - HAML. HAML is designed to provide a technology-neutral description of haptic models. It contains ergonomic requirements and specifications for haptic hardware and software interactions. The envisioned goal is to allow for the creation of plug-and-play environments in which a wide array of supported haptic devices can be used in a multitude of virtual environments, with the compatibility issues being handled by automated engines instead of programmatically by the user. As per implementation, MPEG-7 standard has been used to instantiate HAML schema through the use of description schemes (DS). Our preliminary experimentation demonstrates the suitability of HAML for solving the compatibility issue
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".