Evidence map›Paper›PMID 35909851›Full record

ArticleComputational intelligence and neuroscience2022

An Intelligent Animation Interaction Design Algorithm Based on Example and Parameterization.

Yingquan Wang, Peng Han, Bo Yang

RetractedAbstract readRetracted Publication
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Yingquan WangSchool of Arts, Qingdao Huanghai University, Qingdao, Shandong 266427, China.ORCID https://orcid.org/0000-0002-8376-1440
Peng HanQingdao Huanghai University, Qingdao, Shandong 266427, China.ORCID https://orcid.org/0000-0001-9581-7256
Bo YangDepartment of Secrecy Archive and Screen Culture, Logistics University of PAPF, Tianjin 300300, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intelligent design for the animation interaction is very challenging and needs to be resolved on priority basis. If this design is based on smart learning based mechanism, then it will be more appropriate and effective. Therefore, based on the idea of process modeling, the concrete method is based on example modeling and parameterization, and the VC programming environment is the tool. Animated interactions are not counted. The animation parameterization in the sample animation software and its attribute information are calculated, and the principle and realization process of the new animation interaction design are given, as well as the calculation method and steps of each area of animation elements. The same interaction design pattern can be filled in different areas by using parametric methods. In practice, we have increased the diversity of animation interaction design. The method proposed in this paper can quickly and automatically generate a virtual animation design network according to the user's design ideas and can be controlled by the user in real time interactively, providing a good interface and a new way for the user to design animation environment modeling.

Indexed as

AlgorithmsSoftwareLearning

Identifiers

PMID35909851
PMCPMC9334100

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.