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Record W2162713168 · doi:10.1109/bwcca.2012.71

GPS Waypoint Application

2012· article· en· W2162713168 on OpenAlexaff
Kris Koiner, Haytham Elmiligi, Fayez Gebali

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicTactile and Sensory Interactions
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsGlobal Positioning SystemComputer sciencePhoneCompassWaypointTRIPS architectureSoftwareMobile phone trackingBluetoothMultimediaHuman–computer interactionWorld Wide WebMobile deviceReal-time computingMobile technologyGSM servicesTelecommunicationsWirelessOperating system

Abstract

fetched live from OpenAlex

In this paper, we present a software application that aims at translating data collected by a cell phone into voice signals to help the blind and visually impaired users navigate their way from a starting point to a destination point. This means that cell phone issues voice messages to guide the user along a predetermined path. The application utilizes existing hardware in cell phone devices, such as GPS, compass, etc. This project is designed to research and develop a framework for assistive technologies using Nokia mobile platform. The outcome is a software product, an application on Nokia cell phones, and the project has direct social benefits because it aids people who are visually impaired. An application was developed to show a proof of-concept for personal trip navigation using a cell phone (Nokia-N8). Similar applications exist for driving, but this application attempts to offer a similar goal to all people's trips.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.051
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0510.031

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 head0.054
GPT teacher head0.308
Teacher spread0.254 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations8
Published2012
Admission routes1
Has abstractyes

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