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The Eagle Hand: Innovations in 3D Printing Prosthetic Hands

2021· article· de· W4211069636 on OpenAlexaff
Reilly Desai, Kristen Kelly, Karis Lewis, Vijay Sreenivasan, William M. Austin, Christopher Dinh, Kristen Labazzo, Charm Nicholas

Bibliographic record

Venuenot available
Typearticle
Languagede
FieldEngineering
TopicMuscle activation and electromyography studies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
Keywords3d printed3D printingEagleComputer science3d printerEngineeringManufacturing engineeringMechanical engineering

Abstract

fetched live from OpenAlex

The Eagle Hand project team designed a 3D printed prosthetic hand with the intent to create a more affordable, accessible, and versatile design. Current myoelectric prosthetics are costly, but mechanical ones do not always provide the same mobility. Thus, the Eagle Hand sought to remedy issues with price and versatility. Using SolidWorks, the project team created a hand with an adaptive grip and detachable wrist. After finishing the design, it was tested in SolidWorks simulations to examine the differences in material strengths of ABS, PLA, and PETG. The data revealed that PLA was the superior material for the Eagle Hand in terms of price, durability, and ease of printing. Such findings promise improvements in the future design of 3D printed mechanical prosthetic hands and the materials used for them. As a result, prosthetics can become even more affordable, accessible, and versatile so that every child in need of a prosthetic has the opportunity to use one effectively.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.004

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.

Opus teacher head0.011
GPT teacher head0.222
Teacher spread0.211 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations2
Published2021
Admission routes1
Has abstractyes

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