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Record W2538479157 · doi:10.1109/iecon.2009.5415430

A fastened bolt tracking system for a hand-held tool using an inertial measurement unit and a triaxial magnetometer

2009· article· en· W2538479157 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicInertial Sensor and Navigation
Canadian institutionsSimon Fraser UniversityUniversity of Waterloo
Fundersnot available
KeywordsInertial measurement unitAccelerometerPosition (finance)Orientation (vector space)Tracking (education)MagnetometerTracking systemComputer scienceSystem of measurementEngineeringControl theory (sociology)Computer visionArtificial intelligencePhysicsMathematicsKalman filterMagnetic fieldGeometry

Abstract

fetched live from OpenAlex

This paper presents a low cost tool tracking system that uses one inertial measurement unit (IMU) and one triaxial magnetometer. The proposed system calculates the position and orientation of a fastening tool using an IMU. In addition, an expert system is used to identify the initial position, stationary state, and the fastened bolt. When the tool fastens a bolt, the proposed expert system detects fastening action using a triaxial accelerometer and a triaxial magnetometer. When fastening action is detected, the system corrects the velocity and position error. By using the corrected tool tip position and orientation, the system can identify fastened bolts. Then, by using the fastened bolt position, the position of the IMU is corrected. When the tool is stationary, the system corrects linear velocity error and reduces position error. The experimental results show that the proposed system can identify fastened bolts if the angles of the bolts are different or the bolts are not closely placed.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score0.522

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 head0.062
GPT teacher head0.257
Teacher spread0.195 · 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

Quick stats

Citations7
Published2009
Admission routes1
Has abstractyes

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