Research on the Application of Artificial Intelligence Technology in the Field of Sports Refereeing

Abstract

This article uses artificial intelligence machine vision technology to design a method for judging violations of passing passes. First, use Adaptive Enhanced Variant Algorithm (GAB) to train the classification model to complete the detection of sports (badminton and racket); combine the detection area to extract the sphere center coordinates are used as the target point, and the detected racket part is constructed as the target area. Then the position relationship between the two is defined, and the judgment key frame is extracted according to the relative position change relationship between the target point and the target area; finally, the image angle representation method is used to establish the state judgment model takes the state of the racket in the judgment key frame as an input, and quantizes the output result as an angle value, so as to realize the judgment on whether to serve the ball.

Research on Application Effective Evaluation of Artificial Intelligence Technology in Marketing Communication

“…Accordingly, the cost of marketing activities to improve the conversion rate of customers has become more and more expensive and very difficult. erefore, personalized precision marketing is becoming one of the most important means for enterprises to effectively improve the level of marketing input and output, enhance the overall value contribution of sales business, and improve user experience [24]. In marketing activities, the most concerned customers are broadly divided into two categories:…”

[Retracted] Application of a Remotely Controlled Artificial Intelligence Analgesic Pump Device in Painless Treatment of Children

“…(1) To compare and analyze the total effective rate of 100 children with dental disease, effective: the child can keep quiet and cooperate with related operations and can successfully complete the clinical-related diagnosis and treatment of the child, ineffective: the child cried and showed fear for related operations, it is difficult to complete clinical related diagnosis and treatment. (2) To compare and analyze the total satisfaction rate of 100 parents of children with dental diseases, and take a satisfaction survey form, divided into satisfaction and dissatisfaction, satisfaction: The score is 60 points and above, dissatisfied: the score is below 60 points [ 11 ].…”

Application of Improved VMD-LSTM Model in Sports Artificial Intelligence

“…It mainly involves the use of neural network-based machine learningrelated algorithms, involving sports performance prediction [6], human action recognition and evaluation [7], technical and tactical decision support, sports injury assessment, etc. [8,9], [10] As the most important research direction in the field of artificial intelligence in recent years, deep learning (Deep Learning) is a kind of intelligent learning algorithm based on deep neural network and representation level, so as to obtain humanlike analytical learning ability, thus promoting the progress of artificial intelligence related technologies [11,12]. Among them, the human posture recognition technology in deep learning is a technology that can accurately describe the posture and behavior by sensing the structural parameters of human limbs through sensing signals, images, and other data [13].…”