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Record W2407318128 · doi:10.5281/zenodo.1178260

Instant Instrument Anywhere: A Self-Contained Capacitive Synthesizer

2012· article· en· W2407318128 on OpenAlexaff
David Gerhard, Brett Park

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2012
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsInstantCapacitive sensingComputer sciencePhysics

Abstract

fetched live from OpenAlex

The Instant Instrument Anywhere (IIA) is a small device which can be attached to any metal object to create an electronic instrument. The device uses capacitive sensing to detect proximity of the player's body to the metal object, and sound is generated through a surface transducer which can be attached to any flat surface. Because the capacitive sensor can be any shape or size, absolute capacitive thresholding is not possible since the baseline capacitance will change. Instead, we use a differential-based moving sum threshold which can rapidly adjust to changes in the environment or be re-calibrated to a new metal object. We show that this dynamic threshold is effective in rejecting environmental noise and rapidly adapting to new objects. We also present details for constructing Instant Instruments Anywhere, including using smartphone as the synthesis engine and power supply.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.935
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.003

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 head0.029
GPT teacher head0.222
Teacher spread0.193 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2012
Admission routes1
Has abstractyes

Explore more

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