A Deep Attention Model for Action Recognition from Skeleton Data

Yanbo Gao, Chuankun Li, Shuai Li, Xun Cai, Mao Ye, Hui Yuan

Open source

DOI
10.3390/app12042006
Published
02
Container
Applied Sciences
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/app12042006,
  title = {A Deep Attention Model for Action Recognition from Skeleton Data},
  author = {Yanbo Gao and Chuankun Li and Shuai Li and Xun Cai and Mao Ye and Hui Yuan},
  year = {2022},
  journal = {Applied Sciences},
  doi = {10.3390/app12042006},
  url = {https://doi.org/10.3390/app12042006}
}

RIS

TY  - JOUR
TI  - A Deep Attention Model for Action Recognition from Skeleton Data
AU  - Yanbo Gao
AU  - Chuankun Li
AU  - Shuai Li
AU  - Xun Cai
AU  - Mao Ye
AU  - Hui Yuan
PY  - 2022
JO  - Applied Sciences
DO  - 10.3390/app12042006
UR  - https://doi.org/10.3390/app12042006
ER  - 

APA

Gao, Y., Li, C., Li, S., Cai, X., Ye, M., & Yuan, H. (2022). A Deep Attention Model for Action Recognition from Skeleton Data. Applied Sciences. https://doi.org/10.3390/app12042006

Source records