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Smart Wearables for Tennis Game Performance Analysis [chapter]

Marko Kos, Iztok Kramberger
2019 Sport Technology [Working Title]  
Their purpose is to monitor the performance of an athlete by gathering essential information during match or training.  ...  In this chapter, the focus will be on the different possibilities of tennis game monitoring analysis.  ...  This is enough for storing almost 6 h of an average tennis play, where an average of 20 strokes per player per minute is considered [27] .  ... 
doi:10.5772/intechopen.89544 fatcat:y6fokt65dfbvbjeeongzkbstei

A Wearable Device and System for Movement and Biometric Data Acquisition for Sports Applications

Marko Kos, Iztok Kramberger
2017 IEEE Access  
Because of its small size and minimum weight, it is especially appropriate for swing-based sports like tennis or golf, where any additional weight on the arms would most likely disturb the player and have  ...  INDEX TERMS Biometric data acquisition, inertial sensing, movement detection, pulse rate, sensor fusion, wearable.  ...  ACKNOWLEDGMENT The authors would like to thank the company Biometrika d.o.o. for their support.  ... 
doi:10.1109/access.2017.2675538 fatcat:gm24ak35zbczxhztqfewbyy5mq

Racquet Sports Recognition Using a Hybrid Clustering Model Learned from Integrated Wearable Sensor

Kun Xia, Hanyu Wang, Menghan Xu, Zheng Li, Sheng He, Yusong Tang
2020 Sensors  
In this paper, a racquet sports recognition wristband system and a multilayer hybrid clustering model are proposed to achieve reliable activity recognition and perform number counting.  ...  The proposed system shows better recognition results and is verified in practical experiments.  ...  ., materials used for experiments). Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20061638 pmid:32183426 fatcat:nq5r54necbgplcmpposemv4agu

Remote Evaluation System of Tennis Batting Action Standard Based on Acceleration Sensor

Yuliang Ji, Shunjiang Ma, Chi-Hua Chen
2021 Security and Communication Networks  
This paper studies the remote evaluation system of tennis batting action standard based on acceleration sensor, which aims to help improve the standard degree and technical level of tennis batting action  ...  (PC) for storage, data preprocessing module to smooth original signal data and extract the key time and frequency domain features as the evaluation basis, and remote evaluation module to assess tennis  ...  Human motion recognition based on an acceleration sensor is the most commonly used motion recognition method. e wearable device with an acceleration sensor can be worn on the user's chest, wrist, thigh  ... 
doi:10.1155/2021/9930084 fatcat:6zdzs56cnbgb5hssbwxwcas4ju

Using Artificial Intelligence to Achieve Auxiliary Training of Table Tennis Based on Inertial Perception Data

Pu Yanan, Yan Jilong, Zhang Heng
2021 Sensors  
The experimental results prove that our proposed multi-dimensional feature fusion convolutional neural network has an average recognition rate that is 0.17 and 0.16 higher than that of CNN and Inception-CNN  ...  Finally, we propose a new method based on multi-dimensional feature fusion convolutional neural network and fine-grained evaluation of human table tennis actions.  ...  , human action recognition based on acoustics, and human action recognition based on inertial sensors [13] .  ... 
doi:10.3390/s21196685 pmid:34641004 pmcid:PMC8513010 fatcat:vdoutwxosrge7csc7jabp7ptsq


Disheng Yang, Jian Tang, Yang Huang, Chao Xu, Jinyang Li, Liang Hu, Guobin Shen, Chieh-Jan Mike Liang, Hengchang Liu
2017 Proceedings of the 8th Augmented Human International Conference on - AH '17  
In this paper, we present TennisMaster, an online diagnosis and feedback system, that aims at performing online assessment of tennis serve during the training process using IMU sensors.  ...  In particular, we propose a hierarchical evaluation approach based on the fusion of two IMU sensors mounted on the racket and shank of the player.  ...  The inertial measure module consists of a 6-axis inertial measurement unit B-MI160 which is an integration of a 3-axis accelerometer and a 3-axis gyroscope and 3-axis compass HMC5983.  ... 
doi:10.1145/3041164.3041186 fatcat:ctrewwqtcbahfl774uzopxwt6e

Smartwatch-based Early Gesture Detection 8 Trajectory Tracking for Interactive Gesture-Driven Applications

Tran Huy Vu, Archan Misra, Quentin Roy, Kenny Choo Tsu Wei, Youngki Lee
2018 Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies  
Using an elaborate setup that allows us to realistically study the table-tennis related hand movements of users, we show that our approach works: (a) it can achieve 95% stroke recognition accuracy.  ...  We develop a new approach that tackles these requirements by first building a HMM-based gesture recognition framework that does not need an explicit segmentation step, and then using a per-gesture trajectory  ...  (b): Proficiency of participants in the 6 gestures based on self evaluation. (1) means "I cannot perform the stroke", (5) means "I am expert in this stroke". Fig. 6 . 6 Experiment Setup.  ... 
doi:10.1145/3191771 fatcat:ypc7cm455rhmtakx3xtqku7x44

Detection of Tennis Activities with Wearable Sensors

Luis Benages Pardo, David Buldain Perez, Carlos Orrite Uruñuela
2019 Sensors  
The system is based on two sensor nodes using Bluetooth Low Energy (BLE) wireless technology to communicate with a PC that acts as a central device to collect the information received by the sensors.  ...  The goal is to achieve the correct classification of a set of tennis strokes. The system must exhibit robustness to the variability of the height, age or sex of any subject that performs the actions.  ...  Figure 6 . Tennis vs. no-tennis stroke MLP architecture.  ... 
doi:10.3390/s19225004 pmid:31744136 pmcid:PMC6891273 fatcat:grqc2cyeurbp3bdffnpwqohyky

Badminton Activity Recognition Using Accelerometer Data

Tim Steels, Ben Van Van Herbruggen, Jaron Fontaine, Toon De De Pessemier, David Plets, Eli De De Poorter
2020 Sensors  
In addition, our paper analyses the impact of different sensor placement options and discusses the impact of different sampling frequenciess of the sensors.  ...  As such, our approach provides a low cost solution that is easy to use and can collect useful information for the analysis of a badminton game.  ...  Sensors The device used during the experiments in this work is the Axivity AX6 6-Axis Logging Device [19, 20] .  ... 
doi:10.3390/s20174685 pmid:32825134 pmcid:PMC7506561 fatcat:r3juhpnxbfbe5lmimqqn7sz6mu

Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance

Emily E Cust, Alice J Sweeting, Kevin Ball, Sam Robertson
2018 Journal of Sports Sciences  
Model development for movement recognition were predominantly undertaken using supervised classification approaches.  ...  Objective assessment of an athlete's performance is of importance in elite sports to facilitate detailed analysis.  ...  Pearson correlation coefficients for the correlations between x- axis and y-axis, between x-axis and z- axis, and between y- axis and z-axis Filter based on the Adjusted Rand Index SVM, (radial  ... 
doi:10.1080/02640414.2018.1521769 pmid:30307362 fatcat:h3flbavuivbilbo6ekwvmnjg6i

Body sensor networks for monitoring performances in sports: A brief overview and some new thoughts

Farook Sattar, AKM Abdul Malek Azad, Md Sarfaraj Sikder, Md Shamsul Arefin
2019 Artificial intelligence research  
The focus of the paper is to show that wearable sensor is more efficient than cameras in measuring sport performance and thereby video data and video based systems can be replaced by wearable sensors.  ...  This paper aims to review on body sensor networks (BSNs) for sports from performance monitoring point of view with some new thoughts.  ...  Simplified stroke detection system for table tennis In Ref., [21] the feasibility of accelerometer and GPS sensors are studied to quantify kinematics variables in swimming, such as stroke rate, velocity  ... 
doi:10.5430/air.v8n1p25 fatcat:fzjh3mvuxvdxferwubilk3gqmi

Recognition of Badminton Shot Action Based on the Improved Hidden Markov Model

Chao Ma, Dayang Yu, Hao Feng, Fazlullah Khan
2021 Journal of Healthcare Engineering  
An improved hidden Markov model (HMM) is developed to identify standard 10 badminton strokes.  ...  Compared with the traditional HMM, the average recognition rate of the improved HMM is improved by 7.3%. The comprehensive recognition rate of the final strokes can reach up to 95%.  ...  An alternative approach for sports action recognition is to use inertial sensors for data collection. e sensors are wearable and composed of gyroscopes, accelerometers, and magnetometers [7, 8] .  ... 
doi:10.1155/2021/7892902 pmid:34659693 pmcid:PMC8516566 fatcat:mgtt6n5isnar3b5yuvk2bmpyya

Mathematical Modeling and Simulation of Table Tennis Trajectory Based on Digital Video Image Processing

Chuan He, Xiaoquan Zhang, Yulong Gui, Yang Liu, Wei Zhang, Miaochao Chen
2021 Advances in Mathematical Physics  
capture and movement characteristics suitable for table tennis.  ...  Digital sports training based on digital video image processing promises to reduce the reliance on the experience of coaches in the table tennis training process and to achieve a more general physical  ...  In traditional drop point recognition systems, it is often necessary to resort to a large number of sensors, such as vibration sensors, sound sensors, and pressure sensors.  ... 
doi:10.1155/2021/7045445 fatcat:pcjdu7zgszevnk4p45m236p3nq

Research on Intelligent Bodybuilding System Based on Machine Learning

Chen Chen, Abdellah Touhafi
2022 Journal of Sensors  
To address these existing problems in action recognition research, this paper designs and implements a machine learning-based intelligent fitness system to monitor three important parameters in physical  ...  Experiments are conducted to show that the proposed deep neural network learns well on small datasets, achieving 97.61% action recognition accuracy and SVM achieving over 96% recognition accuracy.  ...  For example, Cao et al. [19] used a 3-axis accelerometer built into a mobile phone to recognise three types of strokes in tennis and applied it to a tennis video game.  ... 
doi:10.1155/2022/6293856 fatcat:m3teud4yovhvlh5xoi52jw3p2a

A survey of depth and inertial sensor fusion for human action recognition

Chen Chen, Roozbeh Jafari, Nasser Kehtarnavaz
2015 Multimedia tools and applications  
In [52] and [49], each gesture was considered to consist of three phases: pre-stroke, nucleus, and post-stroke. Each phase was modeled as an HMM.  ...  velocity data from an inertial sensor) was utilized for hand gesture recognition.  ... 
doi:10.1007/s11042-015-3177-1 fatcat:3m6xzmkpszbnjbp643wgnh5ru4
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