Evidence map›Paper›PMID 35200321›Full record

ArticleBiosensors2022

A Self-Powered Wearable Motion Sensor for Monitoring Volleyball Skill and Building Big Sports Data.

Weijie Liu, Zhihe Long, Guangyou Yang, Lili Xing

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 40 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Weijie LiuSchool of Physics, University of Electronic Science and Technology of China, Chengdu 611731, China.
Zhihe LongDepartment of Mechanical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong SAR 999077, China.
Guangyou YangSchool of Physics, University of Electronic Science and Technology of China, Chengdu 611731, China.
Lili XingSchool of Physics, University of Electronic Science and Technology of China, Chengdu 611731, China.
University of Electronic Science and Technology of China · CNCity University of Hong Kong · HK

Funding

National Natural Science Foundation of China 11674048Sichuan Science and Technology Program 2021YFG0140
6 · The paper itself

Abstract

A novel self-powered wearable motion sensor for monitoring the spiking gesture of volleyball athletes has been manufactured from piezoelectric PVDF film. The PVDF film can convert body mechanical energy into electricity through the piezoelectric effect, and the flexible device can be conformably attached on the hand or arm. The sensor can work independently without power supply and actively output piezoelectric signals as the sports information. The sensor can detect the tiny and fine motion of spiking movement in playing volleyball, reflecting the skill. Additionally, the sensor can also real-time monitor the pulse changes and language during a volleyball match. The self-powered sensors can link to a wireless transmitter for uploading the sports information and building big sports data. This work can provoke a new direction for real-time sports monitoring and promote the development of big sports data.

Indexed as

VolleyballWearable Electronic DevicesElectric Power SuppliesHumansMonitoring, PhysiologicMotionbig sports datamotion monitoringself-poweredwearable electronics

Identifiers

PMID35200321
PMCPMC8869770
OpenAlexW4210774003

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.