A Novel Haptic Device for Plucked Musical Instrument AR Simulation
Bibliographic record
Abstract
Design, development, and testing of a wearable haptic feedback parallel 5-bar mechanism meant for plucked musical instrument emulation as part of an AR system. Usable most easily to emulate playing a harp, other plucked instrument players could also use this technology. System detects the position of a finger relative to a virtual string's projected position, moves a string piece against the fingertip to provide haptic feedback, then detects a plucking motion made by the finger, sounds a musical note dependent on which virtual string's projection the finger is proximate to, then returns to a rest position. A commercial version would add 3DoF motion on multiple fingers, AR goggles and a possible fretting emulation glove. This serves as proof of concept for the most responsive plucked musical string emulation available from a haptic feedback device, allowing for ease of musical practice, decreased instrument weight, size constraints, and expense.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".