Acceleration and rotation rate profile comparison from inertial sensors mounted on the service arm between tennis players of different skill level

One’s perceived competence relates to participation and effort and can vary depending on the self-evaluation sources that athletes value. Ruble and Frey (1991) theorized that phase of skill development may affect one’s preference for different sorts of competence information. The present study tested Ruble and Frey’s model using a sample of 466 adult tennis players. Skill level was athletes’ United States Tennis Association rating. Participants rated the personal importance of tennis and the importance of different sources of self-assessment information. Results showed that beginners were more likely to value temporal comparisons, and advanced players were more likely to value social comparisons. Players rating tennis as highly important were more likely to value temporal comparisons and effort for self-assessment. The findings support Ruble and Frey’s model.

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Relationship of Intensity and Direction of Competitive Trait Anxiety to Skill Level and Gender in Tennis

The Sport Psychologist ◽

10.1123/tsp.12.2.169 ◽

1998 ◽

Vol 12 (2) ◽

pp. 169-179 ◽

Cited By ~ 56

Author(s):

John D. Perry ◽

Jean M. Williams

Keyword(s):

Trait Anxiety ◽

Progressive Increase ◽

Skill Level ◽

Tennis Players ◽

Somatic Anxiety ◽

Confidence Levels ◽

Self Confidence ◽

Males And Females ◽

And Gender ◽

Relationship Of

The purpose of this study was to examine the intensity of competitive trait anxiety and self-confidence and interpret whether these symptoms facilitated or debilitated performance in three distinct skill-level groups in tennis for both males and females. Advanced (n = 50), intermediate (n = 96), and novice (n = 79) tennis players completed a modified Competitive State Anxiety Inventory-2. The three groups did not differ for somatic anxiety intensity, but the novice group reported less cognitive anxiety intensity and the advanced group higher self-confidence levels. Only advanced players reported more facilitative interpretations versus the hypothesized progressive increase across skill level. Males and females did not differ on self-confidence and anxiety intensity, but males reported a more facilitative interpretation of anxiety. Analyses of subjects who reported debilitating effects for cognitive and somatic anxiety revealed higher intensities on both anxiety subscales and lower self-confidence levels. The discussion addresses implications for the practitioner.

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

Sensors ◽

10.3390/s21196685 ◽

2021 ◽

Vol 21 (19) ◽

pp. 6685

Author(s):

Pu Yanan ◽

Yan Jilong ◽

Zhang Heng

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Optical Sensors ◽

Inertial Sensors ◽

Feature Fusion ◽

Recognition Rate ◽

Table Tennis ◽

User Privacy ◽

Tennis Players ◽

Wearable Inertial Sensors

Compared with optical sensors, wearable inertial sensors have many advantages such as low cost, small size, more comprehensive application range, no space restrictions and occlusion, better protection of user privacy, and more suitable for sports applications. This article aims to solve irregular actions that table tennis enthusiasts do not know in actual situations. We use wearable inertial sensors to obtain human table tennis action data of professional table tennis players and non-professional table tennis players, and extract the features from them. Finally, we propose a new method based on multi-dimensional feature fusion convolutional neural network and fine-grained evaluation of human table tennis actions. Realize ping-pong action recognition and evaluation, and then achieve the purpose of auxiliary training. 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 on the nine-axis non-professional test set, which proves that we can better distinguish different human table tennis actions and have a more robust generalization performance. Therefore, on this basis, we have better realized the enthusiast of table tennis the purpose of the action for auxiliary training.

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Incidence Rate of Musculoskeletal Injuries among Professional Tennis Players during 2019 International Tournaments in Indonesia

Journal of Sports Science and Medicine ◽

10.52082/jssm.2021.268 ◽

2021 ◽

pp. 268-274

Author(s):

Mokhammad R. Abadi ◽

Indah S. Widyahening ◽

Nani C. Sudarsono ◽

Ade J. Tobing

Keyword(s):

Risk Factors ◽

Incidence Rate ◽

Body Height ◽

Total Duration ◽

Musculoskeletal Injuries ◽

Skill Level ◽

Tennis Players ◽

Previous Injury ◽

Factors Associated ◽

Professional Tennis

Several studies have indicated that musculoskeletal injuries are common during a professional tennis competition. However, data from a tropical country like Indonesia is lacking. This study aimed to obtain the incidence rate and injury characteristics and identify risk factors of musculoskeletal injuries among professional tennis players competing in Indonesia under the International Tennis Federation (ITF). The study was a prospective cohort during professional tennis tournaments in Jakarta, Indonesia in 2019, consisting of the ITF Women’s Circuit Indonesia (two weeks) and ITF Men’s Future Indonesia (three weeks). All athletes were enrolled in this study. Injuries were assessed based on the ITF Consensus Statement. Incidence rate was the number of injuries per 1000 player hours (i.e., the total duration from before the match starts to completion of the match after the final point). The magnitude of risk was expressed as a relative risk (RR) and its 95% confidence interval (CI). Independent risk factors were identified using multivariate analyses. A total of 161 tennis players were enrolled; 71 (44.1%) were men. Their mean age was 22 years old. The incidence rate of musculoskeletal injuries was 30.8 injuries per 1000 player hours (95% CI: 28.2–33.5). The most common onset was acute injuries (61.1%), while the most common location and type of injury was the trunk (38.9%) and muscle strain (61.1%). Risk factors associated with musculoskeletal injury were higher body height, skill level, history of previous injury, and wet bulb globe temperature (WBGT) zone. There was no injury during the doubles matches. Previous injury was an independent risk factor (adjusted RR: 48.1 (95% CI: 11.3–155.0; p < 0.001). The incidence of musculoskeletal injuries among professional tennis player is considerably high. Factors associated with injury are body height, skill level, previous injury, and WBGT zone. Future injury prevention programmes should incorporate the management of previous injuries and take into account the effect of environmental temperature.

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Monitoring Hitting Load in Tennis Using Inertial Sensors and Machine Learning

International Journal of Sports Physiology and Performance ◽

10.1123/ijspp.2016-0683 ◽

2017 ◽

Vol 12 (9) ◽

pp. 1212-1217 ◽

Cited By ~ 30

Author(s):

David Whiteside ◽

Olivia Cant ◽

Molly Connolly ◽

Machar Reid

Keyword(s):

Machine Learning ◽

Support Vector Machine ◽

Inertial Sensors ◽

Measurement Unit ◽

Support Vector ◽

Tennis Players ◽

Video Footage ◽

Automated Method ◽

Kernel Support Vector Machine ◽

Shot Type

Context:Quantifying external workload is fundamental to training prescription in sport. In tennis, global positioning data are imprecise and fail to capture hitting loads. The current gold standard (manual notation) is time intensive and often not possible given players’ heavy travel schedules. Purpose:To develop an automated stroke-classification system to help quantify hitting load in tennis. Methods:Nineteen athletes wore an inertial measurement unit (IMU) on their wrist during 66 video-recorded training sessions. Video footage was manually notated such that known shot type (serve, rally forehand, slice forehand, forehand volley, rally backhand, slice backhand, backhand volley, smash, or false positive) was associated with the corresponding IMU data for 28,582 shots. Six types of machine-learning models were then constructed to classify true shot type from the IMU signals. Results:Across 10-fold cross-validation, a cubic-kernel support vector machine classified binned shots (overhead, forehand, or backhand) with an accuracy of 97.4%. A second cubic-kernel support vector machine achieved 93.2% accuracy when classifying all 9 shot types. Conclusions:With a view to monitoring external load, the combination of miniature inertial sensors and machine learning offers a practical and automated method of quantifying shot counts and discriminating shot types in elite tennis players.

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Comparison of segmental linear and angular momentum transfers in two-handed backhand stroke stances for different skill level tennis players

Journal of Science and Medicine in Sport ◽

10.1016/j.jsams.2009.06.002 ◽

2010 ◽

Vol 13 (4) ◽

pp. 452-459 ◽

Cited By ~ 11

Author(s):

Lin-Hwa Wang ◽

Hwai-Ting Lin ◽

Kuo-Cheng Lo ◽

Yung-Chun Hsieh ◽

Fong-Chin Su

Keyword(s):

Angular Momentum ◽

Skill Level ◽

Tennis Players

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GINGER

International Journal of Modern Physics D ◽

10.1142/s0218271817410164 ◽

2017 ◽

Vol 26 (05) ◽

pp. 1741016

Author(s):

Angela D. V. Di Virgilio

Keyword(s):

General Relativity ◽

Rotation Rate ◽

Inertial Sensors ◽

Three Dimensional ◽

De Sitter ◽

Preliminary Results ◽

Large Size ◽

The Earth ◽

Ring Lasers ◽

Base Experiment

Gyroscopes IN General Relativity (GINGER) is a proposal of an Earth-base experiment to measure the Lense–Thirring effect. GINGER uses an array of ring lasers, which are the most sensitive inertial sensors to measure the rotation rate of the Earth. GINGER is based on a three-dimensional array of large size ring lasers, able to measure the de Sitter and Lense–Thirring effects. The instrument will be located in the INFN Gran Sasso underground laboratory, in Italy. We describe preliminary developments and measurements. Earlier prototypes based in Italy, GP2, GINGERino, and G-LAS are also described and their preliminary results reported.

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Inertial Oscillations and the Rotation Rate Profile of the Sun

The Internal Solar Angular Velocity - Astrophysics and Space Science Library ◽

10.1007/978-94-009-3903-5_15 ◽

1987 ◽

pp. 107-114

Author(s):

D. B. Guenther

Keyword(s):

Rotation Rate ◽

The Sun ◽

Inertial Oscillations ◽

Rate Profile

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Convenient Method for Detecting Ski-Turn Features with Inertial and Plantar Pressure Sensors

Proceedings ◽

10.3390/proceedings2020049024 ◽

2020 ◽

Vol 49 (1) ◽

pp. 24

Author(s):

Seiji Matsumura ◽

Ken Ohta ◽

Shin-ichiroh Yamamoto ◽

Yasuharu Koike ◽

Toshitaka Kimura

Keyword(s):

Convenient Method ◽

Plantar Pressure ◽

Feature Detection ◽

Inertial Sensors ◽

Pressure Sensors ◽

Skill Level ◽

Body Posture ◽

Pressure Distributions ◽

Plantar Pressure Distribution ◽

Data Output

Skiers need a convenient method that uses actual ski-turn data to determine their skill level quantitatively without impeding their movement. In this study, we propose a feature detection method designed to quantitatively assess the skill level involved in ski turns. Actual data were acquired from both expert and intermediate skiers while skiing by using a comfortable measurement system that uses compact inertial sensors attached to the user’s skis and waist, and plantar pressure sensors. The changes in body posture and the behavior of the skis were examined using acceleration and angular velocity (each on three axes) data output by the inertial sensors. The plantar pressure distributions generated during skiing were also examined. The results show that it is possible to detect the relationship between the behavior of the skis and the changes in body posture or the plantar pressure distribution, which allows the skier’s skill level to be quantitatively assessed.

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Reliabilitas test-retest dyer tennis test revision

Jurnal Keolahragaan ◽

10.21831/jk.v9i1.39122 ◽

2021 ◽

Vol 9 (1) ◽

pp. 43-50

Author(s):

Abdul Alim ◽

Risti Nurfadhila

Keyword(s):

Skill Level ◽

Research Subject ◽

Sports Performance ◽

Tennis Players ◽

Reliable Test ◽

Accuracy Test ◽

Test Instrument ◽

Tennis Court ◽

Measuring Tool ◽

Tennis Skills

Banyak faktor yang mempengaruhi pencapaian prestasi olahraga, salah satu faktor yang mempengaruhi pencapaian prestasi pada cabang olahraga tenis lapangan adalah keterampilan dalam memukul bola. Instrumen tes yang valid dan reliabel diperlukan untuk mengetahui tingkat keterampilan pukulan untuk menentukan dan memantau hasil latihan. Tujuan penelitian ini adalah untuk mengetahui reliabilitas tes akurasi pukulan tenis lapangan menggunakan Dyer Tennis Test Revision. Pemilihan Dyer Tennis Test Revision sebagai intrumen tes pengukuran keterampilan akurasi pukulan tenis disesuaikan dengan subjek penelitian yaitu petenis pemula mahasiswa. Sembilan puluh tujuh mahasiswa pemula (51 laki-laki dan 46 perempuan) yang mengambil mata kuliah tenis lapangan menjadi subjek dalam penelitian ini. Test retest digunakan dalam penelitian ini. Hasil analisis product moment menunjukkan bahwa nilai r adalah 0,975. Hasil terebut bermakna bahwa Dyer Tennis Test Revision dapat diandalkan untuk mengukur unjuk kerja keterampilan tenis berbasis keakuratan. Dyer Tennis Test Revision juga merupakan alat ukur yang mudah dan murah yang dapat digunakan guru/dosen/pelatih untuk memantau kemajuan pemain.Test-retest reliability for dyer tennis test revisionAbstractMany factors affect sports performance, one of the factors that affect performance in tennis is the skill in hitting the ball. A valid and reliable test instrument is needed to determine the skill level of the stroke to determine and monitor the results of the training. The purpose of this study was to determine the reliability of the hitting tennis accuracy test using the Dyer Tennis Test Revision. The choice of Dyer Tennis Test Revision as a test instrument for measuring the accuracy of tennis strokes was adjusted to the research subject, namely student novice tennis players. Ninety-seven (beginner students (51 male and 46 female) who took tennis court courses were the subjects in this study. The retest test was used in this study. The results of the product moment analysis show that the value of r is 0.975. These results mean that the Dyer Tennis Test Revision can be relied upon to measure the performance of tennis skills based on accuracy. Dyer Tennis Test Revision is also an easy and inexpensive measuring tool that teachers / lecturers / coaches can use to monitor player progress.

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