Intelligent Sports Training System Based on Artificial Intelligence and Big Data

Li, Chunguang; Cui, Jianbiao

doi:10.1155/2021/9929650

Cited by 41 publications

(20 citation statements)

References 26 publications

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“…The robot has few degrees of freedom of upper limbs and cannot follow the patient well. Moreover, the rehabilitation mode is relatively simple, and the control system is simple [10]. In this paper, the monitoring technology of training mode control process of lower limb rehabilitation robot is studied, in order to realize the intelligent portable control of training process and the intelligent recognition analysis of training process and lay the foundation for the intelligent control of lower limb rehabilitation robot.…”

Section: Literature Reviewmentioning

confidence: 99%

Motion Rehabilitation Robot Control Based on Human Posture Information

He¹

2022

Journal of Sensors

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In order to meet the needs of postoperative rehabilitation training of lower limbs, a motion rehabilitation robot control system based on human posture information is proposed in this paper. The functions of active/passive training mode control, movement posture and EMG signal acquisition, WiFi communication, safety protection, etc. of the lower limb rehabilitation robot are realized. The recognition and analysis of the training process are realized by using random forest machine learning algorithm and linear regression algorithm. The experimental results show that in the first row of the confusion matrix of the random forest algorithm, 7316 data are correctly identified as speed a and only one data is incorrectly identified as speed B , which is superior to other algorithms. In conclusion, the developed control and monitoring system of lower limb rehabilitation robot can be portable controlled by Android and can realize intelligent analysis of the training process through the monitoring signals in the training process. At the same time, the random forest algorithm has more advantages than the linear regression algorithm in motion recognition, which is of positive significance to the automatic monitoring and intelligent control of the training process.

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Section: Literature Reviewmentioning

confidence: 99%

Motion Rehabilitation Robot Control Based on Human Posture Information

He¹

2022

Journal of Sensors

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“…The text classification process in a traditional digital library includes four parts, namely, text preprocessing, feature representation, feature selection, and classifier, of which the most important are text feature representation and text feature selection, which play a decisive role in the results of text classification [12]. The main process of text classification is shown in Figure 1.…”

Section: Overview Of Traditional Text Classificationmentioning

confidence: 99%

Digital Library Information Integration System Based on Big Data and Deep Learning

2022

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In order to solve the defects of traditional text classification in digital library, the author proposes a method based on deep learning in the field of big data and artificial intelligence, which is applied to the digital library information integration system. On the basis of systematically sorting out the traditional text classification of digital library of this method, this paper proposes a digital library text classification model based on deep learning and uses the word vector method to represent text features, the convolutional neural network in the deep learning model is used to extract the essential features of text information, and experimental verification is carried out. Experimental results show that deep learning-based text classification model can effectively improve the accuracy (average 94.8%) and recall (average 94.5%) of text classification in digital libraries; compared with the traditional text classification method, the text classification method based on deep learning improves the average F1 value by about 11.6%. Conclusion. This method can not only improve the intelligence of the internal business of the digital library, but also improve the efficiency and quality of the information service of the digital library.

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“…Nowadays, golf has developed from the early noble sport to a relatively popular sport, and along with the return of the golf project in 2016 in the Olympic Games, a new round of golf fever is bound to slowly emerge [ 1 ]. Although the development of golf in China started late, but with the rapid development of China's economy and society, golf courses which were earlier present in a few large cities have now moved to many cities, and with the general public's living standards improving, playing golf has become a leisure activity for many people in their spare time [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Research on Intelligent Sports Training System for Golf Based on Body Sense Recognition

Wang

Zang

2022

Computational Intelligence and Neuroscience

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In recent years, significant advances in the development of computer vision technology have produced many platforms and systems that combine computer technology and sports-assisted training, including intelligent systems that are integrated with golf training and instruction. However, the existing intelligent systems for golf-assisted teaching usually use three-dimensional depth information, which will significantly increase the cost of intelligent systems. In this paper, the extraction of golf club slope is carried out on the basis of golf sport video capture using a common monocular camera in order to match the club slope information with the professional coach swing video information. At the same time, in order to facilitate the interframe matching, the joint point information is complemented using the projection approximation point algorithm, and the segmentation of the swing video is performed using the complemented human hand joints and the fixed characteristics of the golf swing. Then, in order to solve the problem that human joints will have the same joint angle under different movements, the human limb joint angles are defined and then the swing movements in the user video frames are evaluated.

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Intelligent Sports Training System Based on Artificial Intelligence and Big Data

Cited by 41 publications

References 26 publications

Motion Rehabilitation Robot Control Based on Human Posture Information

Motion Rehabilitation Robot Control Based on Human Posture Information

Digital Library Information Integration System Based on Big Data and Deep Learning

Research on Intelligent Sports Training System for Golf Based on Body Sense Recognition

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