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Record W2295830855 · doi:10.1109/access.2016.2514978

Magnetic Field Control for Haptic Display: System Design and Simulation

2016· article· en· W2295830855 on OpenAlex
Qi Zhang, Haiwei Dong, Abdulmotaleb El Saddik

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Access · 2016
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHaptic technologyComputer scienceComputer graphics (images)Magnetic fieldSimulationHuman–computer interactionPhysics

Abstract

fetched live from OpenAlex

We present magnetic rendering, a new haptic display method applying an electromagnet array to produce magnetic field in mid-air where the force field can be felt as magnetic repulsive force exerted on the hand through the attached magnet disks. The magnetic field is generated by a specifically designed electromagnet array driven by direct current. By attaching small magnet disks on the hand, the tactile sensation can be perceived by the user. This method can provide a strong tactile force and avoid cumbersome attachments with wires, and thus, it is suitable for a colocated visual and haptic display. In this paper, we introduce the detailed design of the electromagnet array for haptic rendering purposes, which is modeled and tested using finite-element method simulations. We characterize the model mathematically, and apply recursive least squares adaptive control algorithm for controlling the magnetic field. We evaluate the performance of our simulated model in terms of force strength, operation distance, and force stiffness. We then implement and test the control algorithm, which results in fast and accurate convergence. We conclude with simulations on a 15-by-15 model to generate a haptic human face, which results in a smooth force field and accurate force exertion on the control points.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.261
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it