ReviewHeliyon2022
An overview of Human Action Recognition in sports based on Computer Vision.
Review in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quantitative analysis and evaluation of research on the application of computer vision in sports since the 21st century.Frontiers in sports and active living · 2025Pooled it
- Badmintonvision: a deep learning framework for automated tactical analysis in elite badminton.BMC sports science, medicine & rehabilitation · 2026Article
- Effects of Different Marker Set Configurations on Tennis Stroke Recognition Performance: A Three-Dimensional Kinematic Study Based on MiniRocket.Sensors (Basel, Switzerland) · 2026Article
- A Drone-Based Method to Measure Sprint Force-Velocity Profiles in 30-Meter Sprint Test - A Pilot Study.Journal of sports science & medicine · 2026Article
- High frame rate action classification and state tracking in competitive sports using SlowFast dual-stream mesh structure.Scientific reports · 2026Article
- Automated detection of physical contact events in youth ice hockey: a player-centric deep learning approach.Scientific reports · 2026Article
- Integrating psychological profiling with deep learning for enhanced boxing action recognition.Scientific reports · 2026Article
- A narrative review of deep learning applications in sports performance analysis: current practices, challenges, and future directions.BMC sports science, medicine & rehabilitation · 2025Article
- Construction of intelligent gymnastics teaching model based on neural network and artificial intelligence.Scientific reports · 2025Article
- Physical education teaching design under the STEAM concept using the convolutional neural network.Scientific reports · 2025Article
- An active machine learning framework for automatic boxing punch recognition and classification using upper limb kinematics.PloS one · 2025Article
- Assessing ChatGPT's Competency in Addressing Interdisciplinary Inquiries on Chatbot Uses in Sports Rehabilitation: Simulation Study.JMIR medical education · 2024Article
- System Design for Sensing in Manufacturing to Apply AI through Hierarchical Abstraction Levels.Sensors (Basel, Switzerland) · 2024Article
- Article
- Automated Service Height Fault Detection Using Computer Vision and Machine Learning for Badminton Matches.Sensors (Basel, Switzerland) · 2023Article
- Movement Recognition through Inductive Wireless Links: Investigation of Different Fabrication Techniques.Sensors (Basel, Switzerland) · 2023Article
- Quantifying agonistic interactions between group-housed animals to derive social hierarchies using computer vision: a case study with commercially group-housed rabbits.Scientific reports · 2023Article
- Analysis of Movement and Activities of Handball Players Using Deep Neural Networks.Journal of imaging · 2023Article
- Temporal Pattern Attention for Multivariate Time Series of Tennis Strokes Classification.Sensors (Basel, Switzerland) · 2023Article
- Artificial intelligence and Machine Learning approaches in sports: Concepts, applications, challenges, and future perspectives.Brazilian journal of physical therapyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human Action Recognition (HAR) is a challenging task used in sports such as volleyball, basketball, soccer, and tennis to detect players and recognize their actions and teams' activities during training, matches, warm-ups, or competitions. HAR aims to detect the person performing the action on an unknown video sequence, determine the action's duration, and identify the action type. The main idea of HAR in sports is to monitor a player's performance, that is, to detect the player, track their movements, recognize the performed action, compare various actions, compare different kinds and skills of acting performances, or make automatic statistical analysis. As an action that can occur in the sports field refers to a set of physical movements performed by a player in order to complete a task using their body or interacting with objects or other persons, actions can be of different complexity. Because of that, a novel systematization of actions based on complexity and level of performance and interactions is proposed. The overview of HAR research focuses on various methods performed on publicly available datasets, including actions of everyday activities. That is just a good starting point; however, HAR is increasingly represented in sports and is becoming more directed towards recognizing similar actions of a particular sports domain. Therefore, this paper presents an overview of HAR applications in sports primarily based on Computer Vision as the main contribution, along with popular publicly available datasets for this purpose.
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Registered trials
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.