2022
DOI: 10.1155/2022/8424303
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Application of Artificial Intelligence and Big Data Technology in Basketball Sports Training

Abstract: Basketball is a sport with a wide range of complicated human movements, and the ability to accurately identify these movements is critical in both competition and training. Training athletes is largely based on the subjective observations and experiences of the coaches. Artificial intelligence and big data technologies can be used to monitor athlete training. It can also assist coaches in making decisions which significantly increase the athletic ability by detecting their movements. This research work propose… Show more

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Cited by 3 publications
(2 citation statements)
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“…Our experimental results conclude that back propagation (BP) is the most effective of the four ANN algorithms regarding action recognition. The average accuracy rate for detecting upper limb movements among basketball players in training is nearly 93.3%, with an immediate recall average of close to 93.3% [26]. The average accuracy rate for detecting lower limb movements among basketball players in training is close to 99.4%, with an immediate recall average of 99.4%.…”
Section: Related Workmentioning
confidence: 87%
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“…Our experimental results conclude that back propagation (BP) is the most effective of the four ANN algorithms regarding action recognition. The average accuracy rate for detecting upper limb movements among basketball players in training is nearly 93.3%, with an immediate recall average of close to 93.3% [26]. The average accuracy rate for detecting lower limb movements among basketball players in training is close to 99.4%, with an immediate recall average of 99.4%.…”
Section: Related Workmentioning
confidence: 87%
“…As part of his dissertation, Si Zhong (2022) created a system called BSTARNet, an action recognition approach to basketball sports instruction. Artificial neural networks (ANN) form the basis of the process, with the network being trained using data from the world of professional basketball [25]. The Convolution Long Short-Term Memory (ConvLSTM) unit extracts spatiotemporal information aspects of basketball sports training from videos.…”
Section: Related Workmentioning
confidence: 99%