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Record W4392543908 · doi:10.1109/tim.2024.3374309

A Novel Head-Mounted Navigation Device Based on Vibrotactile Stimulation

2024· article· en· W4392543908 on OpenAlexaff
Shimeng Ma, Peter Liu, Jinfeng Gao

Bibliographic record

VenueIEEE Transactions on Instrumentation and Measurement · 2024
Typearticle
Languageen
FieldNeuroscience
TopicTactile and Sensory Interactions
Canadian institutionsCarleton University
FundersNatural Science Foundation of Zhejiang Province
KeywordsHead (geology)Computer scienceAcousticsElectrical engineeringEngineeringGeologyPhysics

Abstract

fetched live from OpenAlex

Despite the availability of guide dogs and sticks, blind and visually impaired people still have difficulties in travelling and sometimes may encounter dangers. This paper presents a novel head-mounted haptic navigation device, for which vibrotactile stimulation is employed at different locations of the head helmet. A set of different navigation instructions are provided through coding the sequential stimuli to the blind and visually impaired people, assisting them in their daily activities. Experiments show that the frontal and temporal regions of the head are more sensitive to vibrotactile stimuli than the top, and the difference thresholds of vibration duration for different parts of the head were derived. The subject’s accuracy and reaction time to navigation direction cues were tested in both indoor and outdoor environments. The results showed that the overall navigation accuracy was around 80%, and the response time was around 1.5 s.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.087
GPT teacher head0.341
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

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

Citations4
Published2024
Admission routes1
Has abstractyes

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Same venueIEEE Transactions on Instrumentation and MeasurementSame topicTactile and Sensory InteractionsFrench-language works237,207