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Record W1983587161 · doi:10.1109/have.2011.6088410

Revocable handwritten signatures with haptic information

2011· article· en· W1983587161 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicUser Authentication and Security Systems
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBiometricsHaptic technologyPasswordComputer scienceAuthentication (law)PopularityHuman–computer interactionField (mathematics)The InternetIdentity (music)SoftwareComputer securityWorld Wide WebArtificial intelligence

Abstract

fetched live from OpenAlex

With recent advances in both the hardware and software for three dimensional applications, virtual environments are growing in popularity. Haptic devices offer a more immersed interaction between users and the virtual environments; and with the growing use of the internet to connect more users, arises the need to authenticate their identity in a secure manner. Identifying users by their interaction with haptic devices is an emerging research field that is proving promising, but like all biometric based authentications relies on the uniqueness of the stored template, which poses a risk if the template is compromised, because unlike passwords and pins, biometric templates are irrevocable. In this paper we explore different ways to introduce revocability to biometric templates with haptic information which are used for user authentication.

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.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.976
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.187
Teacher spread0.171 · 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

Quick stats

Citations4
Published2011
Admission routes1
Has abstractyes

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