{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:28:59Z","timestamp":1730266139941,"version":"3.28.0"},"reference-count":30,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/ijcnn.2018.8489386","type":"proceedings-article","created":{"date-parts":[[2018,10,19]],"date-time":"2018-10-19T22:25:09Z","timestamp":1539987909000},"page":"1-8","source":"Crossref","is-referenced-by-count":12,"title":["Robust Human Action Recognition Using Global Spatial-Temporal Attention for Human Skeleton Data"],"prefix":"10.1109","author":[{"given":"Yun","family":"Han","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheng-Luen","family":"Chung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"ArulMurugan","family":"Ambikapathi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jui-Shan","family":"Chan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei-You","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shun-Feng","family":"Su","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.02.030"},{"key":"ref10","first-page":"3697","article-title":"Co-Occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks","author":"zhu","year":"2016","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-vision-082114-035431"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/34.730558"},{"key":"ref13","first-page":"214","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref14","first-page":"112","article-title":"Multiple object recognition with visual attention","author":"ba","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref15","first-page":"577","article-title":"Attention-based models for speech recognition","author":"chorowski","year":"2015","journal-title":"Proc 29th Annual Conference on Neural Information Processing Systems"},{"key":"ref16","first-page":"321","article-title":"Action recognition using visual attention","author":"sharma","year":"2016","journal-title":"International Conference on Learning Representations"},{"key":"ref17","first-page":"4263","article-title":"An end-to-end spatio-temporal attention model for human action recognition from skeleton data","author":"song","year":"2017","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref18","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","volume":"4","author":"sutskever","year":"2014","journal-title":"Proc 28th Annual Conference on Neural Information Processing Systems(NIPS)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.115"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2014.772"},{"key":"ref27","first-page":"1","article-title":"Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates","volume":"pp","author":"liu","year":"2017","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11554-013-0370-1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2614228"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.161"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2013.76"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1007\/978-3-319-46478-7_13","article-title":"Online human action detection using joint classification-regression recurrent neural networks","volume":"9911 lncs","author":"li","year":"2016","journal-title":"Lecture Notes in Computer Science"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"682","DOI":"10.1007\/978-3-319-29451-3_54","article-title":"Multimodal gesture recognition using multi-stream recurrent neural network","volume":"9431","author":"nishida","year":"2016","journal-title":"Pacific-Rim Symposium on Image and Video Technology"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2014.04.011"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.24"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1922649.1922653"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.115"},{"key":"ref22","first-page":"512","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proceedings of International Conference on Learning Representations"},{"key":"ref21","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume":"9","author":"glorot","year":"2010","journal-title":"Proceedings of 13th International Conference on Artificial Intelligence"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.82"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/5.58337"},{"key":"ref26","first-page":"816","article-title":"Spatio-temporal LSTM with trust gates for 3D human action recognition","author":"liu","year":"2016","journal-title":"Proc European Conference on Computer Vision"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2640292"}],"event":{"name":"2018 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2018,7,8]]},"location":"Rio de Janeiro","end":{"date-parts":[[2018,7,13]]}},"container-title":["2018 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8465565\/8488986\/08489386.pdf?arnumber=8489386","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T03:13:09Z","timestamp":1598238789000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8489386\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2018.8489386","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}