Evidence map›Paper›PMID 36818954›Full record

ArticleProceedings of the ... IEEE Sensor Array and Multichannel Signal Processing Workshop : SAM. IEEE Sensor Array and Multichannel Signal Processing Workshop2022

Video Analytics in Elite Soccer: A Distributed Computing Perspective.

Debesh Jha, Ashish Rauniyar, Håvard D Johansen, Dag Johansen, Michael A Riegler, Pål Halvorsen, Ulas Bagci

Abstract read
In one paragraph

Article in Proceedings of the ... IEEE Sensor Array and Multichannel Signal Processing Workshop : SAM. IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Debesh JhaNorthwestern University, USA.
Ashish RauniyarSINTEF Digital, Norway.
Håvard D JohansenUiT The Arctic University of Norway, Norway.
Dag JohansenUiT The Arctic University of Norway, Norway.
Michael A RieglerSimulaMet, Norway.
Pål HalvorsenSimulaMet, Norway.
Ulas BagciNorthwestern University, USA.

Funding

Cyst-X: Interpretable Deep Learning Based Risk Stratification of Pancreatic Cystic TumorsR01CA246704 · NCI · UNIVERSITY OF CENTRAL FLORIDA · PI BAGCI, ULAS · 2020 to 2024
$2.4M
Radiologist-Centered Artificial Intelligence (RCAI) for Lung Cancer Screening and DiagnosisR01CA240639 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BAGCI, ULAS · 2020 to 2024
$2.0M
NCI NIH HHS R01 CA240639NCI NIH HHS R01 CA246704
6 · The paper itself

Abstract

Ubiquitous sensors and Internet of Things (IoT) technologies have revolutionized the sports industry, providing new methodologies for planning, effective coordination of training, and match analysis post game. New methods, including machine learning, image and video processing, have been developed for performance evaluation, allowing the analyst to track the performance of a player in real-time. Following FIFA's 2015 approval of electronics performance and tracking system during games, performance data of a single player or the entire team is allowed to be collected using GPS-based wearables. Data from practice sessions outside the sporting arena is being collected in greater numbers than ever before. Realizing the significance of data in professional soccer, this paper presents video analytics, examines recent state-of-the-art literature in elite soccer, and summarizes existing real-time video analytics algorithms. We also discuss real-time crowdsourcing of the obtained data, tactical and technical performance, distributed computing and its importance in video analytics and propose a future research perspective.

Indexed as

artificial intelligencefog computingmatch analysisplayer monitoring systemSoccersportsvideo analytics

Identifiers

PMID36818954
PMCPMC9931798

What OpenQuestion holds

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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.