AGTH-Net: Attention-Based Graph Convolution-Guided Third-Order Hourglass Network for Sports Video Classification

Cai, Weiwei; Liu, Runmin

doi:10.1155/2021/8517161

Cited by 31 publications

(19 citation statements)

References 28 publications

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“…And as we age, our physical condition declines leading to less communication with the outside world, less frequency and initiative to seek outside help, and less need for the use of support [ 21 ]. Therefore, the government should develop an elderly support system adapted to the actual situation in Nanjing City based on the quantitative distribution and demand characteristics of elderly health in different age groups, in order to make full use of subsidized resources to maximize the overall health promotion of the elderly [ 22 ].…”

Section: Discussionmentioning

confidence: 99%

An Empirical Analysis of Mental Health and Social Support in the Elderly of Different Age Groups: A Survey and Analysis of Data from China

Qiang

Liu

2022

Occupational Therapy International

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To explore the effects of social support on the mental health of older adults in different age groups in China, and to provide reference for the development of social support policies to promote the mental health of older adults in China. This paper uses a random sampling method to conduct a questionnaire survey of 3,000 older adults aged 60 years or older in Nanjing and a dichotomous logistic regression model for empirical analysis. The two dimensions of mental health and social adjustment were used to measure the mental health status of the elderly. The results showed that the overall mental health status of the elderly in Nanjing city was more optimistic, and the nonempty nesters with male gender, higher education level, and partners were generally healthier; objective and subjective support had significant positive effects on the mental health of middle and high aged elderly, while the utilization of support had more significant effects on the health of low-aged elderly. This paper proposes that government departments should develop a localized elderly support system and social support policies adapted to the actual situation in Nanjing according to the quantitative distribution and demand characteristics of the mental health of elderly people in different age groups. The study is structured as follows: the second part contains data sources and statistical methods. The third part is the analysis of empirical results. The fourth part is the discussion and conclusion part of the article.

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Section: Discussionmentioning

confidence: 99%

An Empirical Analysis of Mental Health and Social Support in the Elderly of Different Age Groups: A Survey and Analysis of Data from China

Qiang

Liu

2022

Occupational Therapy International

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“…From photo and video streams, human detection techniques [ 12 ] extract people. Traditional detection technology [ 13 , 14 ] and statistical principle detection technology are commonly used in human body detection technology.…”

Section: Few-shot Learning Methods For 3d Digital Modeling Of Folk Da...mentioning

confidence: 99%

3D Digital Model of Folk Dance Based on Few-Shot Learning and Gesture Recognition

Zhang

2022

Computational Intelligence and Neuroscience

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Folk dance is a very unique local culture in China, and dances in different regions have different characteristics. With the development of 3D digital technology and human gesture recognition technology, how to apply it in folk dance is a question worth thinking about. So, this paper recognizes and collects dance movements through human body detection and tracking technology in human gesture recognition technology. Then, this paper writes the data into the AAM model for 3D digital modeling and retains the information by integrating the manifold ordering. Finally, this paper designs a folk dance learning method combined with the Few-Shot learning method. This paper also designs a data set test experiment, an algorithm data set comparison experiment, and a target matching algorithm comparison experiment to optimize the learning method designed in this paper. The final results show that the Few-Shot learning method based on gesture recognition 3D digital modeling of folk dances designed in this paper reduces the learning time by 17% compared with the traditional folk dance learning methods. And the Few-Shot learning method designed in this paper improves the dance action score by 14% compared with the traditional learning method.

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“…It involves many fields such as data mining, information retrieval, and so on, and has a wide range of application value. Data level processing is very important for unbalanced classification [2,3]. No matter whether the importance of samples is consistent in practical problems, data level processing will have a relatively positive impact on the final classification results.…”

Section: Introductionmentioning

confidence: 99%

Chinese Language Literature Emotion Analysis Model Based on Unbalanced K-Nearest Neighbor Classification Method

Ji¹

2022

Scientific Programming

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The Chinese language is a nation’s symbol, the accumulation of a country’s magnificent culture, and the pearl precipitated in the long history’s washing. The Chinese language is rich and complex, and there are still many topics and issues that merit repeated exchanges and discussions in academic circles. This study proposes a classification method of emotion polarity based on reliability analysis in order to identify the tendency of literary emotion in Chinese language. Support vector machine (SVM), class center, and KNN (K-nearest neighbor) are included in the combined classifier, which effectively improves the accuracy and efficiency of emotion polarity classification. A Chinese literary emotion analysis model based on the method of UKNNC (unbalanced K-nearest neighbor classification) is proposed at the same time by analysing the characteristics of text structure and emotion expression. The experimental results show that, when compared to traditional machine methods, the UKNNC method can analyse text sentiment in fine-grained and multilevel ways, while also improving the accuracy of Chinese literary sentiment analysis.

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AGTH-Net: Attention-Based Graph Convolution-Guided Third-Order Hourglass Network for Sports Video Classification

Cited by 31 publications

References 28 publications

An Empirical Analysis of Mental Health and Social Support in the Elderly of Different Age Groups: A Survey and Analysis of Data from China

An Empirical Analysis of Mental Health and Social Support in the Elderly of Different Age Groups: A Survey and Analysis of Data from China

3D Digital Model of Folk Dance Based on Few-Shot Learning and Gesture Recognition

Chinese Language Literature Emotion Analysis Model Based on Unbalanced K-Nearest Neighbor Classification Method

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