Cargando…

Classification of Tennis Shots with a Neural Network Approach

Data analysis plays an increasingly valuable role in sports. The better the data that is analysed, the more concise training methods that can be chosen. Several solutions already exist for this purpose in the tennis industry; however, none of them combine data generation with a wristband and classif...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ganser, Andreas, Hollaus, Bernhard, Stabinger, Sebastian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433919/ https://www.ncbi.nlm.nih.gov/pubmed/34502593 http://dx.doi.org/10.3390/s21175703

Ejemplares similares

Using Wearable Sensors and a Convolutional Neural Network for Catch Detection in American Football
por: Hollaus, Bernhard, et al.
Publicado: (2020)

Learning Three Dimensional Tennis Shots Using Graph Convolutional Networks
por: Skublewska-Paszkowska, Maria, et al.
Publicado: (2020)

A Shot Number Based Approach to Performance Analysis in Table Tennis
por: Tamaki, Sho, et al.
Publicado: (2017)

A Preliminary Investigation Regarding the Effect of Tennis Grunting: Does White Noise During a Tennis Shot Have a Negative Impact on Shot Perception?
por: Sinnett, Scott, et al.
Publicado: (2010)

Table Tennis Tutor: Forehand Strokes Classification Based on Multimodal Data and Neural Networks
por: Mat Sanusi, Khaleel Asyraaf, et al.
Publicado: (2021)

Shot Characteristics Based on Match Period in Elite Table Tennis Matches
por: Wang, Jie
Publicado: (2021)

Exploring the structure of the shot effectiveness model for elite table tennis players
por: Yang, Qing, et al.
Publicado: (2023)

Single-shot optical neural network
por: Bernstein, Liane, et al.
Publicado: (2023)

Analytical Model of Action Fusion in Sports Tennis Teaching by Convolutional Neural Networks
por: Li, Huiguang, et al.
Publicado: (2022)

CricShotClassify: An Approach to Classifying Batting Shots from Cricket Videos Using a Convolutional Neural Network and Gated Recurrent Unit
por: Sen, Anik, et al.
Publicado: (2021)

A Siamese Transformer Network for Zero-Shot Ancient Coin Classification
por: Guo, Zhongliang, et al.
Publicado: (2023)

Insights into few shot learning approaches for image scene classification
por: Soudy, Mohamed, et al.
Publicado: (2021)

Estimation of Aboveground Biomass in Alpine Forests: A Semi-Empirical Approach Considering Canopy Transparency Derived from Airborne LiDAR Data
por: Jochem, Andreas, et al.
Publicado: (2010)

Object-Based Point Cloud Analysis of Full-Waveform Airborne Laser Scanning Data for Urban Vegetation Classification
por: Rutzinger, Martin, et al.
Publicado: (2008)

Technical and tactical diagnosis model of table tennis matches based on BP neural network
por: Huang, Wenwen, et al.
Publicado: (2021)

Acute Tennis Injuries in the Recreational Tennis Player
por: Kaiser, Peter, et al.
Publicado: (2021)

Feature fusion network based on few-shot fine-grained classification
por: Yang, Yajie, et al.
Publicado: (2023)

A Meta-Learning Approach for Few-Shot Face Forgery Segmentation and Classification
por: Lin, Yih-Kai, et al.
Publicado: (2023)

Tennis
por: Everett, Peter
Publicado: (1971)

Research on the Application of Artificial Neural Network-Based Virtual Image Technology in College Tennis Teaching
por: Hu, Ruizhe, et al.
Publicado: (2022)

Zero-shot learning of aerosol optical properties with graph neural networks
por: Lamb, K. D., et al.
Publicado: (2023)

Aesthetic Characteristics of Dance Based on Few-Shot Learning and Neural Networks
por: Qu, Dixin
Publicado: (2022)

C-Norm: a neural approach to few-shot entity normalization
por: Ferré, Arnaud, et al.
Publicado: (2020)

A Longitudinal Study of Changes in the Shot Characteristics of Women Table Tennis Players: Analysis of the Olympic Semifinals and Finals of Women's Singles
por: Wang, Jie, et al.
Publicado: (2022)

Temporal Pattern Attention for Multivariate Time Series of Tennis Strokes Classification
por: Skublewska-Paszkowska, Maria, et al.
Publicado: (2023)

Convolutional neural network-based single-shot speckle tracking for x-ray phase-contrast imaging
por: Shi, Serena Qinyun Z., et al.
Publicado: (2023)

Robust and fast post-processing of single-shot spin qubit detection events with a neural network
por: Struck, Tom, et al.
Publicado: (2021)

Posterior Shoulder Instability in Tennis Players: Aetiology, Classification, Assessment and Management
por: Watson, Lyn, et al.
Publicado: (2023)

Tennis Elbow
por: Cooke, L.
Publicado: (1922)

Cross-domain few-shot learning based on pseudo-Siamese neural network
por: Gong, Yuxuan, et al.
Publicado: (2023)

Knowledge-enhanced prototypical network with class cluster loss for few-shot relation classification
por: Liu, Tao, et al.
Publicado: (2023)

Attributes’ Importance for Zero-Shot Pose-Classification Based on Wearable Sensors
por: Ohashi, Hiroki, et al.
Publicado: (2018)

An Approach for Thoracic Syndrome Classification with Convolutional Neural Networks
por: Juneja, Sapna, et al.
Publicado: (2021)

Active particle feedback control with a single-shot detection convolutional neural network
por: Fränzl, Martin, et al.
Publicado: (2020)

Does Tennis Training Improve Attention? New Approach
por: Ünver, Şaban, et al.
Publicado: (2023)

Classification of Sonar Targets in Air: A Neural Network Approach
por: Kroh, Patrick K., et al.
Publicado: (2019)

Hybrid Fine-Tuning Strategy for Few-Shot Classification
por: Zhao, Lei, et al.
Publicado: (2022)

A lightweight weak semantic framework for cinematographic shot classification
por: Li, Yuzhi, et al.
Publicado: (2023)

Easy—Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components
por: Bendou, Yassir, et al.
Publicado: (2022)

Wearable Wheelchair Mobility Performance Measurement in Basketball, Rugby, and Tennis: Lessons for Classification and Training
por: van der Slikke, Rienk M. A., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_oh8sai0upn2j0i2bp3r70ichvh