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Record W2765583527 · doi:10.1115/detc2017-67415

Body Gesture-Based User Interaction in Design Review

2017· article· en· W2765583527 on OpenAlexaff
Yu Xiao, Qingjin Peng

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicHand Gesture Recognition Systems
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsGestureNaturalnessComputer scienceHuman–computer interactionProcess (computing)User interfaceInterface (matter)Artificial intelligenceProgramming language

Abstract

fetched live from OpenAlex

Human-computer interactions (HCI) are essential in computer-aided design (CAD) systems. Replacing the traditional mouse and keyboard by gestures for the design input has aroused wide interests of researchers to improve the naturalness and intuitiveness of HCI. A gesture-based design review system is proposed in this paper for the CAD model review. Human gestures are captured using Microsoft Kinect. Based on the review of frequently-used CAD commands in the design review process, six commands including translation, scaling, rotation, navigation, exploding and assembly are proposed using human body gestures for the design review process. FAAST is used as a middleware to transmit skeleton joint signals from Kinect to the review system via VRPN. Applications of the interface show the proposed method is able to effectively trigger required design operations via gestures. Results of the user test shows that intuitiveness and naturalness of HCI are improved via gestures compared to traditional methods of the design input.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score0.543

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.069
GPT teacher head0.331
Teacher spread0.262 · 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 designNot applicable
Domainnot available
GenreMethods

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
Published2017
Admission routes1
Has abstractyes

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