Spatial and temporal attention embedded spatial temporal graph convolutional networks for skeleton based gait recognition with multiple IMUs

Yan, Jianjun; Xiong, Weixiang; Jin, Li; Jiang, Jinlin; Yang, Zhihao; Hu, Shuai; Zhang, Qinghong

doi:10.1016/j.isci.2024.110646

iScience

2024

DOI: 10.1016/j.isci.2024.110646

|View full text |Cite

Spatial and temporal attention embedded spatial temporal graph convolutional networks for skeleton based gait recognition with multiple IMUs

Jianjun Yan,

Weixiang Xiong,

Li Jin

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Research on Collaborative Interaction Mode of Intelligent Physical Education Teaching Based on Cloud Platform under the View of Digitization

2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

The cloud computing platform’s data and information sharing, computational efficiency, and service convenience provide strong support for collaborative learning and teaching and promote the high-level development of education digitalization. This paper designs a smart sports teaching system based on the collaborative cloud computing-assisted teaching platform, enabling a three-dimensional collaborative smart sports teaching mode. This paper focuses on the intelligent recommendation problem of sports learning resources and optimizes the teaching system by constructing a collaborative filtering recommendation model based on a graph convolutional neural network. The AUC, MRR, NDGG@1, and NDGG@2 index values and loss values of this paper’s sports learning resources recommendation model are 0.789, 0.904, 0.797, 0.934, and 0.54, respectively, which are better than PinSage, CASER, DIN, and MCR models. The model in this paper has shown that it can work by improving NDCG@2 and AUC values in a variety of sparsity learner groups in a way that is both effective and stable. The T-test P-values of the post-experimental badminton skill levels of the experimental group adopting the cloud-based 3D collaborative intelligent physical education teaching model and the control group adopting the traditional teaching model are all less than 0.05, which is a significant difference. This indicates that the physical education teaching mode in this paper is better than the traditional teaching mode and more conducive to improving students’ sports technology.

show abstract

Research on Collaborative Interaction Mode of Intelligent Physical Education Teaching Based on Cloud Platform under the View of Digitization

2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Spatial and temporal attention embedded spatial temporal graph convolutional networks for skeleton based gait recognition with multiple IMUs

Cited by 1 publication

References 16 publications

Research on Collaborative Interaction Mode of Intelligent Physical Education Teaching Based on Cloud Platform under the View of Digitization

Research on Collaborative Interaction Mode of Intelligent Physical Education Teaching Based on Cloud Platform under the View of Digitization

Contact Info

Product

Resources

About