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Record W2803694831 · doi:10.1080/17483107.2018.1462860

A wearable fabric-based speech-generating device: system design and case demonstration

2018· article· en· W2803694831 on OpenAlexafffund
Amanda Fleury, Gloria Chuk Yan Wu, Tom Chau

Bibliographic record

VenueDisability and Rehabilitation Assistive Technology · 2018
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWearable computerComputer scienceWearable technologyHuman–computer interactionEngineeringEmbedded system

Abstract

fetched live from OpenAlex

Purpose: Existing speech generating devices (SGD) often require caregiver intervention for setup and positioning, and thus limit opportunities for spontaneous social interaction. The advent of conductive fabrics presents an opportunity to render SGDs wearable, thus persistently available. Our goal was to design and test a wearable SGD incorporating resistive textile-based switches for a nonverbal pediatric participant with vision impairment.Materials and methods: Quad-key fabric keypads were designed using two conductive fabrics in combination with felt and mesh insulators. The keypad with the most repeatable low force activations and the least cross-talk among keys was chosen for implementation in a wrist-worn, four-message textile SGD. The fabric-based SGD was used by a nonverbal pediatric participant for two one-week analysis periods, alternating with the user’s current device for usage reference. Data were derived from usage logs, parent questionnaires and an end-of-study participant interview.Results: The best performing keypad consisted of two layers of woven conductive fabrics and one layer of insulating felt with 10 mm apertures. Communicative interactions were higher with the fabric-based SGD, particularly at school. Unprompted initiation of communication was observed only with the fabric-based SGD. The persistent availability of the textile solution, along with esthetic appeal likely contributed to its utilization. While the participant preferred the fabric-based SGD, the parent opted for the iPod alternative, citing enhanced message intelligibility.Conclusions: Fabric-based SGDs are a new alternative to conventional SGD designs using rigid electronics. As such, tactile differentiability of keys, device wearability and esthetic personalization may be promising advantages for pediatric users.Implications for rehabilitationFabric-based switches may be a promising alternative to conventional electro-mechanical switches for the control of speech-generating devices, offering functional (e.g., comfort and tactile differentiability), expressive (e.g., non-stigmatizing textile integration) and esthetic (e.g., colors and textures) appeal.The material combination of two layers of woven conductive material and one insulating layer of felt with 10 mm diameter apertures seems to provide a fabric-based keypad suitable for pediatric use, requiring low-force activation and minimal cross-talk among buttons.Fabric-based devices offer advantages of tactile differentiability and thus may be particularly suited to individuals with vision impairments.Wearable textile SGDs can be persistently available and may thus increase opportunities for communication.

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)0.002
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.048
GPT teacher head0.389
Teacher spread0.340 · 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".

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Citations17
Published2018
Admission routes2
Has abstractyes

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