External and internal load profiles by age and sex in youth basketball players [PDF]
BMC Sports Science, Medicine and RehabilitationBackground Understanding youth basketball demands is key for data-driven training and injury prevention. An accurate picture of the physical loads experienced by basketball players during matches can be obtained with Local Positioning System.
Anna Gál-Pottyondy +5 more
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Research on Basketball Shooting Action Based on Image Feature Extraction and Machine Learning
IEEE Access, 2020 In modern sports training, collecting and analyzing basketball player's posture data is of great significance for improving the scientific of the coach's training plan and improving the athlete's training effect.
Rong Ji
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iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations [PDF]
International Conference on Human Factors in Computing Systems, 2023 We present iBall, a basketball video-watching system that leverages gaze-moderated embedded visualizations to facilitate game understanding and engagement of casual fans.
Zhutian Chen +6 more
semanticscholar +1 more source
Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition Using Wrist-Worn Inertial Sensors [PDF]
Italian National Conference on Sensors, 2023 We present a benchmark dataset for evaluating physical human activity recognition methods from wrist-worn sensors, for the specific setting of basketball training, drills, and games.
Alexander Hoelzemann +4 more
semanticscholar +1 more source
Towards an Understanding of Situated AR Visualization for Basketball Free-Throw Training [PDF]
International Conference on Human Factors in Computing Systems, 2021 We present an observational study to compare co-located and situated real-time visualizations in basketball free-throw training. Our goal is to understand the advantages and concerns of applying immersive visualization to real-world skill-based sports ...
Tica Lin +6 more
semanticscholar +1 more source
Basketball action recognition based on the combination of YOLO and a deep fuzzy LSTM network
Journal of Supercomputing, 2023 The ability to identify human actions in uncontrolled surroundings is important for Human–Computer Interaction (HCI), especially in the sports areas to offer athletes, coaches, and analysts valuable knowledge about movement techniques and aid referees in
Soroush Babaee Khobdeh +2 more
semanticscholar +1 more source
Effect of core training on athletic and skill performance of basketball players: A systematic review
PLoS ONE, 2023 A limited number of studies focus on the effect of core training on basketball players’ athletic performance and skills. This systematic reviewaimed to comprehensively and critically review the available studies in the literature that investigate the ...
Shengyao Luo +7 more
semanticscholar +1 more source
The Quest for : Embedded Visualization for Augmenting Basketball Game Viewing Experiences [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2022 Sports game data is becoming increasingly complex, often consisting of multivariate data such as player performance stats, historical team records, and athletes' positional tracking information. While numerous visual analytics systems have been developed
Tica Lin +5 more
semanticscholar +1 more source
Ankle biomechanics of the three-step layup in a basketball player with chronic ankle instability
Scientific Reports, 2023 At present, the effects of chronic ankle instability (CAI) on the biomechanics of the ankle joint in the three-step layup of basketball players are not clear. This work aims to thoroughly investigate the impact of CAI on the biomechanical characteristics
Luyu Wang, Jiahui Ye, Xuyang Zhang
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Research on visual search behaviors of basketball players at different levels of sports expertise
Scientific Reports, 2023 This study aims to examine visual search strategies of skilled basketball players in an anticipation task. This study selected 48 experienced and inexperienced basketball players. The participants were grouped into novice and expert groups based on their
Peng Jin, Zhigang Ge, Tieming Fan
semanticscholar +1 more source