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Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.cviu.2017.02.002openalex-snapshot
A survey on player tracking in soccer videos
inferredcites →https://doi.org/10.1016/j.cviu.2017.04.011openalex-snapshot
Computer vision for sports: Current applications and research topics
inferredcites →https://doi.org/10.1016/j.imavis.2020.103870openalex-snapshot
Collective Sports: A multi-task dataset for collective activity recognition
inferredcites →https://doi.org/10.1016/j.patcog.2010.03.009openalex-snapshot
A review of vision-based systems for soccer video analysis
inferredcites →https://doi.org/10.1016/j.pmcj.2022.101608openalex-snapshot
DeCoach: Deep Learning-based Coaching for Badminton Player Assessment
inferredcites →https://doi.org/10.1016/j.sbspro.2014.02.249openalex-snapshot
Application of Neural and Regression Models in Sports Results Prediction
inferredcites →https://doi.org/10.1016/j.smr.2013.06.005openalex-snapshot
Sports Analytics: A Guide for Coaches, Managers and Other Decision Makers>
inferredcites →https://doi.org/10.1080/24733938.2022.2046286openalex-snapshot
A holistic analysis of collective behaviour and team performance in Australian Football via structural equation modelling
inferredcites →https://doi.org/10.1080/24748668.2007.11868390openalex-snapshot
A simple statistical method for assessing the reliability of data entered into sport performance analysis systems
inferredcites →https://doi.org/10.1093/comjnl/bxt075openalex-snapshot
Recognizing Daily and Sports Activities in Two Open Source Machine Learning Environments Using Body-Worn Sensor Units
inferredcites →https://doi.org/10.1109/access.2018.2839766openalex-snapshot
Human Daily and Sport Activity Recognition Using a Wearable Inertial Sensor Network
inferredcites →https://doi.org/10.1109/cbmi.2009.10openalex-snapshot
Action Categorization in Soccer Videos Using String Kernels
inferredcites →https://doi.org/10.1109/cspa.2018.8368687openalex-snapshot
Common sport activity recognition using inertial sensor
inferredcites →https://doi.org/10.1109/cvpr.2014.471openalex-snapshot
2D Human Pose Estimation: New Benchmark and State of the Art Analysis
inferredcites →https://doi.org/10.1109/cvpr.2015.7298698openalex-snapshot
ActivityNet: A large-scale video benchmark for human activity understanding
inferredcites →https://doi.org/10.1109/cvpr.2018.00629openalex-snapshot
Fine-Grained Video Captioning for Sports Narrative
inferredcites →https://doi.org/10.1109/cvprw.2012.6239175openalex-snapshot
G3D: A gaming action dataset and real time action recognition evaluation framework
inferredcites →https://doi.org/10.1109/cvprw.2013.102openalex-snapshot
THETIS: Three Dimensional Tennis Shots a Human Action Dataset
inferredcites →https://doi.org/10.1109/cvprw.2017.25openalex-snapshot
Football Action Recognition Using Hierarchical LSTM
inferredcites →https://doi.org/10.1109/cvprw.2018.00223openalex-snapshot
SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
inferredcites →https://doi.org/10.1109/cvprw.2018.00226openalex-snapshot
Fine-Grained Activity Recognition in Baseball Videos
inferredcites →https://doi.org/10.1109/cvprw.2018.00228openalex-snapshot
Convolutional Neural Networks Based Ball Detection in Tennis Games
inferredcites →https://doi.org/10.1109/cvprw.2019.00310openalex-snapshot
Temporal Hockey Action Recognition via Pose and Optical Flows
inferredcites →https://doi.org/10.1109/cvprw.2019.00311openalex-snapshot
GolfDB: A Video Database for Golf Swing Sequencing
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00446openalex-snapshot
Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00447openalex-snapshot
VR Alpine Ski Training Augmentation using Visual Cues of Leading Skier
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00449openalex-snapshot
Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00450openalex-snapshot
TTNet: Real-time temporal and spatial video analysis of table tennis
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00454openalex-snapshot
Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00456openalex-snapshot
Improved Soccer Action Spotting using both Audio and Video Streams
inferredcites →https://doi.org/10.1109/cvprw53098.2021.00510openalex-snapshot
Contrastive Learning for Sports Video: Unsupervised Player Classification
inferredcites →https://doi.org/10.1109/icassp.2017.7953297openalex-snapshot
Wearable motion sensor based phasic analysis of tennis serve for performance feedback
inferredcites →https://doi.org/10.1109/icce37049.2016openalex-snapshot
2016 IEEE International Conference on Consumer Electronics (ICCE)
inferredcites →https://doi.org/10.1109/iccitechn.2016.7860197openalex-snapshot
Activity recognition of a badminton game through accelerometer and gyroscope
inferredcites →https://doi.org/10.1109/iccv.2007.4408872openalex-snapshot
What, where and who? Classifying events by scene and object recognition
inferredcites →https://doi.org/10.1109/iccvw.2011.6130434openalex-snapshot
Transductive transfer learning for action recognition in tennis games
inferredcites →https://doi.org/10.1109/icmew53276.2021.9456000openalex-snapshot
Self-Supervised Learning for Human Pose Estimation in Sports
inferredcites →https://doi.org/10.1109/icmla.2017.0-149openalex-snapshot
Wearable Motion Sensor Based Analysis of Swing Sports
inferredcites →https://doi.org/10.1109/icpai51961.2020.00025openalex-snapshot
Sensor-based Badminton Stroke Classification by Machine Learning Methods
inferredcites →https://doi.org/10.1109/icsens.2011.6127084openalex-snapshot
Multi-sensor classification of tennis strokes
inferredcites →https://doi.org/10.1109/imtc.2009.5168575openalex-snapshot
Local sensor system for badminton smash analysis
inferredcites →https://doi.org/10.1109/percom.2018.8444585openalex-snapshot
Scaling Human Activity Recognition via Deep Learning-based Domain Adaptation
inferredcites →https://doi.org/10.1109/percomw.2017.7917551openalex-snapshot
SoccerMate: A personal soccer attribute profiler using wearables
inferredcites →https://doi.org/10.1109/percomworkshops48775.2020.9156220openalex-snapshot
StanceScorer: A Data Driven Approach to Score Badminton Player
inferredcites →https://doi.org/10.1109/percomworkshops48775.2020.9156244openalex-snapshot
Shoot Like Ronaldo: Predict Soccer Penalty Outcome with Wearables
inferredcites →https://doi.org/10.1109/spa.2016.7763586openalex-snapshot
Classification of basic footwork in fencing using accelerometer
inferredcites →https://doi.org/10.1109/tbdata.2016.2641460openalex-snapshot
Big Scholarly Data: A Survey
inferredcites →https://doi.org/10.1109/tcsvt.2017.2655624openalex-snapshot
A Survey of Content-Aware Video Analysis for Sports
inferredcites →https://doi.org/10.1109/tcsvt.2019.2921655openalex-snapshot
Sports Video Captioning via Attentive Motion Representation and Group Relationship Modeling
inferredcites →https://doi.org/10.1109/titb.2007.899496openalex-snapshot
Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions
inferredcites →https://doi.org/10.1109/tmm.2014.2360793openalex-snapshot
Automatic Human Mocap Data Classification
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1109/tpami.2018.2857768openalex-snapshot
Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly
inferredcites →https://doi.org/10.1109/wacv.2011.5711524openalex-snapshot
An evaluation of bags-of-words and spatio-temporal shapes for action recognition
inferredcites →https://doi.org/10.1109/wacv.2018.00039openalex-snapshot
Towards Structured Analysis of Broadcast Badminton Videos
inferredcites →https://doi.org/10.1109/wf-iot.2015.7389029openalex-snapshot
Architecture of an IoT-based system for football supervision (IoT Football)
inferredcites →https://doi.org/10.1123/ijspp.2016-0683openalex-snapshot
Monitoring Hitting Load in Tennis Using Inertial Sensors and Machine Learning
inferredcites →https://doi.org/10.1145/1877868.1877882openalex-snapshot
Combining inertial and visual sensing for human action recognition in tennis
inferredcites →https://doi.org/10.1145/3078971.3079032openalex-snapshot
Badminton Video Analysis based on Spatiotemporal and Stroke Features
inferredcites →https://doi.org/10.1145/3123024.3123163openalex-snapshot
Analyzing tennis game through sensor data with machine learning and multi-objective optimization
inferredcites →https://doi.org/10.1145/3191789.3191793openalex-snapshot
IoT Platform for Sports Analytics
inferredcites →https://doi.org/10.1186/s12859-020-3355-7openalex-snapshot
FLIR vs SEEK thermal cameras in biomedicine: comparative diagnosis through infrared thermography
inferredcites →https://doi.org/10.1186/s40798-019-0202-3openalex-snapshot
Current Approaches to the Use of Artificial Intelligence for Injury Risk Assessment and Performance Prediction in Team Sports: a Systematic Review
inferredcites →https://doi.org/10.1613/jair.1.12505openalex-snapshot
Game Plan: What AI can do for Football, and What Football can do for AI
inferredcites →https://doi.org/10.21227/n1e0-7c60openalex-snapshot
Badminton Activity Recognition (BAR)
inferredcites →https://doi.org/10.23919/icact.2017.7890221openalex-snapshot
A comparative study on multi-object tracking methods for sports events
inferredcites →https://doi.org/10.24963/ijcai.2018/478openalex-snapshot
Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation
inferredcites →https://doi.org/10.24963/ijcai.2020/464openalex-snapshot
Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players
inferredcites →https://doi.org/10.3390/s19225001openalex-snapshot
Sport-Related Human Activity Detection and Recognition Using a Smartwatch
inferredcites →https://doi.org/10.3390/s19225004openalex-snapshot
Detection of Tennis Activities with Wearable Sensors
inferredcites →https://doi.org/10.3390/s20174685openalex-snapshot
Badminton Activity Recognition Using Accelerometer Data
inferredcites →https://doi.org/10.3991/ijet.v14i22.11345openalex-snapshot
A Big Data-Based Data Mining Tool for Physical Education and Technical and Tactical Analysis
inferredcites →https://doi.org/10.4108/icst.bodynets.2013.253675openalex-snapshot
Monitoring System for Sports Activities Using Body Area Networks
inferredcites →https://doi.org/10.4108/icst.bodynets2009.6035openalex-snapshot
Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing
inferredcites →https://doi.org/10.5220/0005699001700175openalex-snapshot
Embedded Sensors System Applied to Wearable Motion Analysis in Sports
inferredcites →https://doi.org/10.5281/zenodo.1071041openalex-snapshot
Classification Algorithms In Human Activity Recognition Using Smartphones
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.5753/semish.2025.7500openalex-snapshot
Aplicação e Análise de Algoritmos de Rastreamento Visual para Detecção de Bola em Partidas de Voleibol
inferred← citeshttps://doi.org/10.62617/mcb565openalex-snapshot
The impact of variable speed running on the biomechanics and tactical awareness of college badminton athletes
inferred← citeshttps://doi.org/10.70023/bdsm.1104openalex-snapshot
Sports data visualization with a hybrid design utilizing big data analytics and Artificial Intelligence
inferred← citeshttps://doi.org/10.9728/dcs.2024.25.4.1027openalex-snapshot
Predicting the Outcomes of K-League Matches using Machine Learning Algorithms
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