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Record W4293223853 · doi:10.11159/icbes22.117

Finite-State Machine for Level-Ground Walking Control of an Ankle-Foot Orthosis

2022· article· en· W4293223853 on OpenAlexvenueno aff
Joseph Tsongo Vughuma, Olivier Verlinden

Bibliographic record

VenueProceedings of the World Congress on Electrical Engineering and Computer Systems and Science · 2022
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsnot available
Fundersnot available
KeywordsFoot (prosody)AnkleFinite stateComputer sciencePhysical medicine and rehabilitationFinite-state machineMedicineMachine learningAlgorithm

Abstract

fetched live from OpenAlex

This paper presents a control algorithm for an active ankle-foot orthosis that provides level-ground walking assistance with adaptable control parameters. Instead of the impedance-control usually used in lower-limb assistive devices, an admittance control is used, and the control parameters are adapted with respect to gait events detected by a finite-state machine based on foot pressure sensors. In this work, the state machine can not only detect the various phases of the walking cycle but also undesirable events such as an unexpected lifting of the foot, reversing or even the user's intent to stop. It selects the best parameters that will allow a safe control of the orthosis. The control system was implemented and evaluated on a single subject. The ability of the device to provide appropriate functionality (kinematics and kinetics) during ground-walking is compared to those of a healthy subject. Results from tests indicates that the orthosis can provide desirable level-ground walking behavior.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.201
Teacher spread0.192 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Electrical Engineering and Computer Systems and ScienceSame topicProsthetics and Rehabilitation RoboticsFrench-language works237,207