scholarly journals Finger and Palm Dynamic Pressure Monitoring for Basketball Shooting

2017 ◽  
Vol 2017 ◽  
pp. 1-5
Author(s):  
Chiao-Fang Hung ◽  
Chung-Chiang Chen ◽  
Shin-Hung Lin ◽  
Tien-Kan Chung
Keyword(s):  
Pressure Distribution ◽  
Index Finger ◽  
Dynamic Pressure ◽  
Test Method ◽  
Basketball Player ◽  
Basketball Players ◽  
College Basketball ◽  
Qualitative Test ◽  
The Moment ◽  
Robotic Applications

This study verified general inferences on the finger and palm pressure distribution of a basketball player in the moment before that player shoots a basketball through a scientific qualitative testing method. We mounted the sensor on the hands of college basketball players and monitored the dynamic pressure of each player’s hand while the player threw a basketball. The dynamic pressure distribution of the fingers and palm of a basketball player throwing a ball can be verified. According to the experimental results, college basketball players typically use the index finger to control the direction and power of force in the moment before shooting a basketball. This study successfully used a scientific qualitative test method to monitor the dynamic pressure of the fingers and palms of basketball players and verified the general inference that a typical basketball player mainly uses the index finger to control the direction and power of force in the moment before throwing a ball. In the future, this study, measuring the dynamic pressure distribution of the fingers and palm, can be applied to simulate hand manipulation in many biomedical and robotic applications.

scholarly journals NPU RGB+D Dataset and a Feature-Enhanced LSTM-DGCN Method for Action Recognition of Basketball Players

2021 ◽  
Vol 11 (10) ◽  
pp. 4426
Author(s):  
Chunyan Ma ◽  
Ji Fan ◽  
Jinghao Yao ◽  
Tao Zhang
Keyword(s):  
Action Recognition ◽  
Large Scale ◽  
Short Term Memory ◽  
Evaluation Criteria ◽  
Image Data ◽  
Basketball Player ◽  
Basketball Players ◽  
Convolutional Network ◽  
Atomic Actions ◽  
New Feature

Computer vision-based action recognition of basketball players in basketball training and competition has gradually become a research hotspot. However, owing to the complex technical action, diverse background, and limb occlusion, it remains a challenging task without effective solutions or public dataset benchmarks. In this study, we defined 32 kinds of atomic actions covering most of the complex actions for basketball players and built the dataset NPU RGB+D (a large scale dataset of basketball action recognition with RGB image data and Depth data captured in Northwestern Polytechnical University) for 12 kinds of actions of 10 professional basketball players with 2169 RGB+D videos and 75 thousand frames, including RGB frame sequences, depth maps, and skeleton coordinates. Through extracting the spatial features of the distances and angles between the joint points of basketball players, we created a new feature-enhanced skeleton-based method called LSTM-DGCN for basketball player action recognition based on the deep graph convolutional network (DGCN) and long short-term memory (LSTM) methods. Many advanced action recognition methods were evaluated on our dataset and compared with our proposed method. The experimental results show that the NPU RGB+D dataset is very competitive with the current action recognition algorithms and that our LSTM-DGCN outperforms the state-of-the-art action recognition methods in various evaluation criteria on our dataset. Our action classifications and this NPU RGB+D dataset are valuable for basketball player action recognition techniques. The feature-enhanced LSTM-DGCN has a more accurate action recognition effect, which improves the motion expression ability of the skeleton data.

FUNDAMENTAL ANALYSIS OF THREE-DIMENSIONAL ‘NEAR FLING’

1993 ◽  
Vol 183 (1) ◽  
pp. 217-248 ◽  
Author(s):  
S. Sunada ◽  
K. Kawachi ◽  
I. Watanabe ◽  
A. Azuma
Keyword(s):  
Numerical Calculation ◽  
Hydrodynamic Force ◽  
Dynamic Pressure ◽  
Three Dimensional ◽  
Added Mass ◽  
Opening Angle ◽  
Rotation Axes ◽  
Adequate Accuracy ◽  
Series Of Experiments ◽  
The Moment

A series of experiments on three-dimensional ‘near fling’ was carried out. Two pairs of plates, rectangular and triangular, were selected, and the distance between the rotation axes of the two plates of each pair was varied. The motion of the plates as well as the forces and the moment were measured, and the interference between the two plates of a pair was studied. In addition, a method of numerical calculation was developed to aid in the understanding of the experimental results. The interference between the two plates of a pair, which acted to increase both the added mass of each plate and the hydrodynamic force due to dynamic pressure, was noted only when the opening angle between the plates was small. The hydrodynamic forces were strongly influenced by separated vortices that occurred during the rotation. A method of numerical calculation, which took into account the effect both of interference between the plates and of separated vortices, was developed to give adequate accuracy in analyzing beating wings in ‘near fling’.

scholarly journals SHOULDER INJURIES IN WHEELCHAIR BASKETBALL PLAYERS: A SYSTEMATIC REVIEW

2021 ◽  
Author(s):  
Małgorzata Jekiełek ◽  
Angelika Sosulska ◽  
Grzegorz Mańko ◽  
Jarosław Jaszczur-Nowick
Keyword(s):  
Upper Limb ◽  
Basketball Player ◽  
Shoulder Injuries ◽  
Shoulder Injury ◽  
Wheelchair Basketball ◽  
Basketball Players ◽  
Search Terms ◽  
Large Numbers ◽  
The Disabled ◽  
Upper Limb Pain

Sport of the disabled has been becoming more and more popular for several years, and wheelchair basketball is one of the most popular disciplines among the disabled. However, playing sports is connected with the possibility of injuries and pain in people training a given discipline. The aim of this study is to determine the occurrence of injuries and to identify most commonly injuries in athletes practicing basketball in wheelchairs. A literature review was conducted in Embase and Medline PubMed databases. Basic search terms are: shoulder injury OR shoulder pain OR upper limb disease OR upper limb disorders OR upper limb pain AND basketball OR basketball player OR wheelchair sport OR wheelchair user OR wheelchair athlete OR wheelchair basketball OR disabled sport OR disabled persons.Results: 511 non-duplicate results were found. At the stage of the analysis of titles and abstracts, 483 were rejected and 28 were qualified for the analysis of full texts. The review included 2 that met all the criteria. The topic is not discussed in large numbers in the literature and requires further research specifically focused on the prevention of shoulder injury as well as assessment of the risk of damage to individual elements that make up the shoulder joint and surrounding structures.

scholarly journals Lignolytic Enzyme Activity of Isolated Bacteria from Termite (Coptotermes Sp.) and Milkfish (Chanos chanos Forsskal, 1775) Guts

2021 ◽  
Vol 13 (1) ◽  
pp. 70-76
Author(s):  
Emi Latifah ◽  
Putri Dwi Mulyani ◽  
Yekti Asih Purwestri
Keyword(s):  
Enzyme Activity ◽  
Bacillus Licheniformis ◽  
Test Method ◽  
Chanos Chanos ◽  
Enzyme Isolation ◽  
Optimum Ph ◽  
Qualitative Test ◽  
Pseudomonas Alcaligenes ◽  
Enzyme Source ◽  
Brevibacillus Parabrevis

Bacteria BSR 2, Pseudomonas alcaligenes (BSR 3), Brevibacillus parabrevis (BSR 8), Brevibacillus sp. (BSR 9), isolated from termite gut and Bacillus licheniformis (BSA B1) isolated from milkfish gut have been known to possess celluloytic activity. However, their lignolytic ability has not been known. This study aimed to determine the lignolytic ability of bacteria isolated from termit (Coptotermes sp.) and milkfish (Chanos chanos Forsskal, 1775) guts and their enzymes characterization. The qualitative test was done through the spot test method, while quantitative assay was performed spectrophotometrically at 335 nm to calculate vanillin concentration. The isolates were grown in Lignin Mineral Medium, then the optical density (OD620) were measured every 24 hours for 5 days using spectrophotometer to determine their growth profile and the best isolation time of the lignolytic enzyme. Based on results, the best lignolytic enzyme isolation time for strains Bacillus licheniformis (BSA B1) and BSR 2 were 5 days, yielding lignolytic enzyme activity of 0.961 ± 0.168 U/mg and 2.176 ± 0.088 U/mg respectively,  while strains Pseudomonas alcaligenes (BSR 3), Brevibacillus parabrevis (BSR 8), and Brevibacillus sp. (BSR 9) were 4 days, yielding of 1.206 ± 0.045 U/mg, 1.162 ± 0.191 U/mg, and 0.896 ± 0.108 U/mg, respectively. The strain BSR 2 showed the highest lignolytic activity compared to other strains. The optimum temperature for lignolytic enzyme activity of BSR 2 was 30 ℃ and the optimum pH was 7. The lignolytic enzyme activity showed that these bacterial isolates can be a chance to be used as new alternative lignolytic enzyme source in commercial bioconversion process.

scholarly journals Effect of caffeine ingestion on free-throw performance in college basketball players

2020 ◽  
Vol 18 (2) ◽  
pp. 62-67
Author(s):  
Zhi S. Tan ◽  
Stephen F. Burns ◽  
Jing W. Pan ◽  
Pui W. Kong
Keyword(s):  
Basketball Players ◽  
Caffeine Ingestion ◽  
Free Throw ◽  
College Basketball

Prediction of the dynamic pressure distribution on a propeller blade under ice milling

2019 ◽  
Vol 188 ◽  
pp. 106284 ◽  
Author(s):  
L.Y. Ye ◽  
C.Y. Guo ◽  
C. Wang ◽  
C.H. Wang
Keyword(s):  
Pressure Distribution ◽  
Dynamic Pressure ◽  
Propeller Blade
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