[Retracted] CNN‐LSTM Hybrid Model for Kinematic Feature Analysis and Parabolic Radian Prediction in Basketball Videos

Abstract

With the improvement of living standards around the world, people's love for sports has also increased; basketball is especially loved by people. It is of great importance to provide sound motor instruction for basketball. To this end, this paper comprehensively investigates the dependence between the optimal release conditions and the corresponding shooting arm movements in basketball players. We carry out kinematic feature analysis of basketball sports videos, propose a hybrid CNN-LSTM model that can predict the arc of the shooting parry, and identify the key movements of the arm joint that produce optimal release velocity, angle, and backspin in short-, mid-, and long-range shots. The experiment demonstrates that the model has three rigid planar links with rotational joints that mimic the shoulder, elbow, and wrist joints of the upper arm, forearm, and hand, which are better at guiding the optimal ball release speed, angle, and backspin for different players with the fastest ball speed being about 4.6 m/s and the slowest being about 1.7 m/s.

A CNN-LSTM-att hybrid model for classification and evaluation of growth status under drought and heat stress in chinese fir (Cunninghamia lanceolata)

“…CNN-LSTM hybrid model has been successfully used in tasks requiring sequence learning of visual features [ 45 ], like video classification and activity recognition in videos [ 18 , 46 ]. Our task was similar to activity classification in videos that predict which activity is being performed by analyzing visual changes over time.…”

“…This problem can be solved by using recurrent neural networks (RNN). In particular, long short-term memory (LSTM) has a very good performance in analyzing dynamic information [ 18 – 20 ]. Conjunction of CNN and LSTM could integrate spatial and temporal information from processing signals to help predict plant growth status more precise.…”

A Novel Levy Walk-Based Framework for Scheduling Power-Intensive Mobile Edge Computing Tasks

“…The convolution operation is performed by sliding the kernel over the input matrix, and at each position, the element-wise multiplication and summation are computed as described in the formula [29]. For 1D convolutions, the mathematical formulation is similar, with the kernel sliding along a one-dimensional sequence, such as a time series or text data [30].…”

Retracted: CNN‐LSTM Hybrid Model for Kinematic Feature Analysis and Parabolic Radian Prediction in Basketball Videos

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”