Evidence map›Paper›PMID 35495885›Full record

ArticleComputational and mathematical methods in medicine2022

Recognition Method of Wushu Human Complex Movement Based on Bone Point Feature.

Anping Li, Ruijie Zhang, Lingrong Tao

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 48% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Anping LiDepartment of Physical Education and Research, Yang-En University, Quanzhou 362014, China.ORCID https://orcid.org/0000-0003-4566-660X
Ruijie ZhangDepartment of Physical Education, Tangshan Normal University, Tangshan 063000, China.ORCID https://orcid.org/0000-0003-1431-0280
Lingrong TaoPhysical Education Institute, Jimei University, Xiamen 361021, China.ORCID https://orcid.org/0000-0002-0379-1069
Jimei University · CNTangshan Normal University · CNYang-En University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The existing recognition methods of complex human movements in Wushu have the problem of imperfect kinetic energy model, which leads to low recognition accuracy. A complex human motion recognition method based on bone point features is designed. Identify martial arts movement posture, combine the upward movement of human center of gravity trajectory, establish the kinetic energy model of joints according to the positioning results of extremity points, set the threshold of local spatial differences of human bones with the central node of hip joint as the center point, avoid overcalculation, and optimize the complex motion identification process by combining the characteristics of bone points.

Indexed as

Martial ArtsMovementGravitationHip JointHumansPosture

Identifiers

PMID35495885
PMCPMC9050278
OpenAlexW4224253818

What OpenQuestion holds

Textmetadata
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.