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Record W3163637613

Gait Analysis for the elderly and popular designs of smart canes available in the market: A narrative review

2021· review· en· W3163637613 on OpenAlexaff
Paroma Arefin, Md Shehan Habib, Aishawarya Arefin, Saidul Arefin

Bibliographic record

Venuenot available
Typereview
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsInstitute of Health Economics
Fundersnot available
KeywordsNarrativeNarrative reviewGaitComputer scienceMarket researchHuman–computer interactionArtificial intelligenceMarketingBusinessPhysical medicine and rehabilitationPsychologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Background: To promote freedom of movement and allow people with mobility issues to get about and accomplish everyday tasks, smart canes are important. They are available in the market in different features. However, other mechanical and electronic design modifications are possible to provide individualized comfort. In the market, they are available in various design choices. Objective: The objective of the study was gait analysis and finding the features people look for in mobility assistive devices. Method: We have conducted a narrative literature review and analyzed the websites for analyzing gait and the features that make popular canes available in the market popular. Findings: We have found that the canes with adjustable heights, low weight, and a wide range of user weight supporting and proper weight-distributing capabilities are more popular. But people search for customized designs based on their requirements on a lower budget. Conclusion: In this study, we have discussed the popular designs available in the market. The findings give us the idea to combine different design variations as per user requirements.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.548
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.257
GPT teacher head0.496
Teacher spread0.238 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2021
Admission routes1
Has abstractyes

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