Journal of Optoelectronics · Laser, Volume. 33, Issue 2, 149(2022)
Recognition of students′ online classroom action based on spatio-temporal graph convolutional network
[1] [1] LI S,YI J,FARHA Y A,et al.Pose refinement graph convolutional network for skeleton-based action recognition[J].IEEE Robotics and Automation Letters,2021,6(2):1028-1035.
[2] [2] KAWAMURA K,MATSUBARA T,UEHARA K.Deep state-space model for noise tolerant skeleton-based action recognition[J].IEICE Transactions on Information and Systems,2020,103(6):1217-1225.
[3] [3] CUI R,ZHU A,WU J,et al.Skeleton-based attention-aware spatial-temporal model for action detection and recognition[J].IET Computer Vision,2020,14(5):177-184.
[4] [4] HUANG Q,ZHOU F,QIN R.View transform graph attention recurrent networks for skeleton-based action recognition[J].Signal,Image and Video Processing,2021,15(3):599-606.
[5] [5] YAN S,XIONG Y,LIN D.Spatial temporal graph convolutional networks for skeleton-based action recognition[C]//AAAI Conference on Artificial Intelligence,Feb.2-7,2018,Seattle,USA.New York:ACM,2018:7444-7452.
[6] [6] SI C,CHEN W,WANG W,et al.An attention enhanced graph convolutional ISTM network for skeleton-based action recognition[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition,Jun.16-20,2019,Long Beach,CA,USA.New York:IEEE,2019:1227-1236.
[7] [7] SHI L,ZHANG Y,CHENG J,et al.Two-stream adaptive graph convolutional networks for skeleton-based action recognition[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition,Jun.16-20,2019,Long Beach,CA,USA.New York:IEEE,2019:12026-12035.
[8] [8] LIU Z,ZHANG H,CHEN Z,et al.Disentangling and unifying graph convolutions for skeleton-based action recognition[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition,Jun.13-19,2020,Seattle,WA,USA.New York:IEEE,2020:143-152.
[9] [9] SONG Y F,ZHANG Z,SHAN C,et al.Richly activated graph convolutional network for robust skeleton-based action recognition[J].IEEE Transactions on Circuits and Systems for Video Technology,2020,31(5):1915-1925.
[10] [10] PIERSON E,CUTLER D M,LESKOVEC J,et al.An algorithmic approach to reducing unexplained pain disparities in underserved populations[J].Nature Medicine,2021,27(1):136-140.
[11] [11] LIU J,SHAHROUDY A,PEREZ M,et al.NTU RGB+ D 120:A large-scale benchmark for 3D human activity understanding[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2019,42(10):2684-2701.
[12] [12] DICK G.Teaching online:creating student engagement[J].Communications of the Association for Information Systems,2021,48(1):65-72.
[14] [14] STRINGER C,WANG T,MICHAELOS M,et al.Cellpose:a generalist algorithm for cellular segmentation[J].Nature Methods,2021,18(1):100-106.
[15] [15] SHAHOUDY A,LIU J,NG T T,et al.Ntu rgb+ d:A large scale dataset for 3d human activity analysis[C]//IEEE Conference on Computer Vision and Pattern Recognition,Jun.27-30,2016,Las Vegas,USA.New York:IEEE,2016:1010-1019.
[16] [16] LI M,CHEN S,CHEN X,et al.Actional-structural graph convolutional networks for skeleton-based action recognition[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition,Jun.16-20,2019,Long Beach,CA, USA.New York:IEEE,2019:3595-3603.
[17] [17] GAO X,HU W,TANG J,et al.Optimized skeleton-based action recognition via sparsified graph regression[C]//27th ACM International Conference on Multimedia,Oct.21-25,2019,Nice,France.New York:ACM,2019:601-610.
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HU Jinlin, QI Yongfeng, WANG Jiaying. Recognition of students′ online classroom action based on spatio-temporal graph convolutional network[J]. Journal of Optoelectronics · Laser, 2022, 33(2): 149
Received: Jun. 3, 2021
Accepted: --
Published Online: Oct. 9, 2024
The Author Email: QI Yongfeng (qiyf@nwnu.edu.cn)