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Record W3015805183 · doi:10.36227/techrxiv.12084168.v1

Smart Shoes For Visually Impaired

2020· preprint· en· W3015805183 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
Typepreprint
Languageen
FieldEngineering
TopicSmart Parking Systems Research
Canadian institutionsLakehead University
Fundersnot available
KeywordsSightVisually impairedHuman–computer interactionAmusementComputer scienceArduinoObject (grammar)Front (military)ALARMArchitectural engineeringPsychologyArtificial intelligenceEngineeringSocial psychologyElectrical engineeringEmbedded system

Abstract

fetched live from OpenAlex

Sight is viewed as the most significant sense and the visually impaired individuals are seen upon with feel sorry for by others. Innovation encourages the visually impaired individuals to speak with nature, the correspondence procedure and the dispersal of data has gotten quick and on a more extensive scale to incorporate all pieces of the world which incredibly influenced to the human life, subsequently expanding the methods for amusement and comfort and diminished affliction and hardship in numerous things. We have surveyed the existing solutions meant for autonomous mobility for the visually impaired people. In this paper, we have proposed a novel structure, Smart Shoes with sensors installed in them to control an outwardly debilitated individual smoothly and to alarm him/her of the impediments that lay in front of him in his way. The structure is meant to build up a simple to utilise processing power of Arduino in conjunction with the object detection capability of ultrasonic sensor to oblige the extraordinary needs, used to manage the individual coextending the highlights of the Smart Shoes.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.809
Threshold uncertainty score1.000

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 head0.064
GPT teacher head0.318
Teacher spread0.255 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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