Juvenile Tillaux Fracture in an Adolescent Basketball Player

2005 ◽  
Vol 33 (2) ◽  
pp. 30-33 ◽  
Author(s):  
Kyle J. Cassas ◽  
John P. Jamison
Keyword(s):  
Basketball Player ◽  
Tillaux Fracture

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.

Any DNA to Declare? Regulating Offshore Access to Genetic Enhancement

2002 ◽  
Vol 28 (2-3) ◽  
pp. 179-213
Author(s):  
Maxwell J. Mehlman ◽  
Kirsten M. Rabe
Keyword(s):  
Law School ◽  
Genetic Enhancement ◽  
Basketball Player ◽  
Professional Basketball ◽  
The Government ◽  
Travel Abroad ◽  
To Receive ◽  
The U.S

Imagine a world in which parents can genetically enhance their child's height so that he becomes a professional basketball player. Or imagine a law school student preparing for the bar who takes out an extra loan to genetically enhance his intelligence. What if going to your physician for a routine physical included the option of genetically enhancing any trait you desired? And what if such a practice was expensive and, therefore, only available to the privileged members of society? Is this desirable or should the U.S. government ban genetic enhancement? What if the government bans it and citizens travel abroad to receive genetic enhancement treatments? Can the U.S. government do anything to prevent access to illegal genetic enhancement abroad?

A rare dance

2021 ◽  
pp. 101269022199365
Author(s):  
Ilan Tamir
Keyword(s):  
Social Media ◽  
Critical Discourse ◽  
Basketball Player ◽  
Global Media ◽  
Marketing System ◽  
Rare Phenomenon ◽  
The World ◽  
History Of ◽  
Media Event ◽  
Enormous Success

The enormous success of The Last Dance, the sports documentary on Michael Jordan’s career, and especially his last season, is the result of a rare confluence of factors, each of which is a unique and rare phenomenon in the history of sport. Their combination has already turned the mini-series into a global media event of the kind that is usually reserved for live broadcasts of extraordinary events. A basketball player with unusual personal and professional abilities, supported by a highly polished and well-oiled marketing system; the specific window of time in which his star shone – the late 1990s, when the era of media commercialization and globalization flourished, yet before the emergence of social media and their typical critical discourse; the rise in sports documentaries in recent years; and encasing all of these is the time of the documentary’s broadcast, when sports life across the world ceased due to the coronavirus. The mini-series, which seemingly deals with a single season in the career of a single player in a single sport, is actually so much more. It is a composition reflecting much wider social, sports and media phenomena.

Fractures of the lateral margin of the distal tibia. The Tillaux fracture.

Radiology ◽  
1981 ◽  
Vol 138 (1) ◽  
pp. 55-57 ◽  
Author(s):  
J M Protas ◽  
B A Kornblatt
Keyword(s):  
Distal Tibia ◽  
Lateral Margin ◽  
Tillaux Fracture

Mechanical Simulation of Knee Movement in Basketball Shooting

2013 ◽  
Vol 336-338 ◽  
pp. 760-763
Author(s):  
Hui Yue
Keyword(s):  
Finite Element ◽  
Cruciate Ligament ◽  
Three Dimensional ◽  
Element Model ◽  
Basketball Player ◽  
Knee Movement ◽  
Dimensional Finite Element ◽  
Anterior Cruciate ◽  
Three Dimensional Finite Element

A short explanation of the finite element method as a powerful tool for mathematical modeling is provided, and an application using constitutive modeling of the behavior of ligaments is introduced. Few possible explanations of the role of water in ligament function are extracted from two dimensional finite element models of a classical ligament. The modeling is extended to a three dimensional finite element model for the human anterior cruciate ligament. Simulation of ligament force in pitching motion of basketball player is studied in this paper.

Sign in / Sign up

Export Citation Format

Share Document