{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:07:28Z","timestamp":1765544848565,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T00:00:00Z","timestamp":1637280000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,11,19]]},"DOI":"10.1145\/3503961.3503966","type":"proceedings-article","created":{"date-parts":[[2022,3,8]],"date-time":"2022-03-08T22:04:56Z","timestamp":1646777096000},"page":"25-30","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Activity Recognition in Industrial Environment using Two Layers Learning"],"prefix":"10.1145","author":[{"given":"Robin","family":"Fays","sequence":"first","affiliation":[{"name":"Engineering, Haute Ecole de Namur-Liege-Luxembourg-Pierrard, Belgique"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rim","family":"Slama","sequence":"additional","affiliation":[{"name":"Engineering, Haute Ecole de Namur-Liege-Luxembourg-Pierrard, Belgique"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,3,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306214.3338546"},{"key":"e_1_3_2_1_2_1","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016","author":"Shahroudy Amir","year":"2018","unstructured":"Amir Shahroudy , Jun Liu , Tian-Tsong Ng , Gang Wang , \" NTU RGB+D : A Large Scale Dataset for 3D Human Activity Analysis \", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 . Chelsea Finn. 2018 . Learning to Learn with Gradients. PhD Thesis, EECS Department, University of Berkeley. Amir Shahroudy, Jun Liu, Tian-Tsong Ng, Gang Wang, \"NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis\", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. Chelsea Finn. 2018. Learning to Learn with Gradients. PhD Thesis, EECS Department, University of Berkeley."},{"key":"e_1_3_2_1_3_1","volume-title":"Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction. arXiv","author":"S.","year":"2020","unstructured":"Song, Z.; Yin, Z.; Yuan, Z.; Zhang, C.; Chi, W.; Ling, Y.; Zhang, S. Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction. arXiv 2020 , arXiv:2007.01065. Song, Z.; Yin, Z.; Yuan, Z.; Zhang, C.; Chi, W.; Ling, Y.; Zhang, S. Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction. arXiv 2020, arXiv:2007.01065."},{"key":"e_1_3_2_1_4_1","volume-title":"Action Recognition for Human Robot Interaction in Industrial Applications. 10.13140\/RG.2.1.1069.2009","author":"Heindl Sharath","year":"2015","unstructured":"Akkaladevi, Sharath & Heindl , Christoph & Angerer , Alfred & Minichberger , Juergen. ( 2015 ). Action Recognition for Human Robot Interaction in Industrial Applications. 10.13140\/RG.2.1.1069.2009 . Akkaladevi, Sharath & Heindl, Christoph & Angerer, Alfred & Minichberger, Juergen. (2015). Action Recognition for Human Robot Interaction in Industrial Applications. 10.13140\/RG.2.1.1069.2009."},{"key":"e_1_3_2_1_5_1","volume-title":"\u00a0Going deeper into action recognition: a survey.\u00a0Image and Vision Computing,\u00a060, 4-21. https:\/\/doi.org\/10.1016\/j.imavis.2017.01.010","author":"F.","year":"2017","unstructured":"Herath, S., Harandi, M., & Porikli, F. ( 2017 ). \u00a0Going deeper into action recognition: a survey.\u00a0Image and Vision Computing,\u00a060, 4-21. https:\/\/doi.org\/10.1016\/j.imavis.2017.01.010 . 10.1016\/j.imavis.2017.01.010 Herath, S., Harandi, M., & Porikli, F. (2017).\u00a0Going deeper into action recognition: a survey.\u00a0Image and Vision Computing,\u00a060, 4-21. https:\/\/doi.org\/10.1016\/j.imavis.2017.01.010."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2712608"},{"key":"e_1_3_2_1_7_1","volume-title":"Joint recognition and segmentation of actions via probabilistic integration of spatio-temporal fisher vectors. CoRR, abs\/1602.01601","author":"Carvajal Johanna","year":"2016","unstructured":"Johanna Carvajal , Chris McCool , Brian C. Lovell , and Conrad Sanderson . Joint recognition and segmentation of actions via probabilistic integration of spatio-temporal fisher vectors. CoRR, abs\/1602.01601 , 2016 . Johanna Carvajal, Chris McCool, Brian C. Lovell, and Conrad Sanderson. Joint recognition and segmentation of actions via probabilistic integration of spatio-temporal fisher vectors. CoRR, abs\/1602.01601, 2016."},{"key":"e_1_3_2_1_8_1","first-page":"1118","volume-title":"IEEE Int. Conf. on Computer Vision and Pattern Recognition","author":"Du Yong","year":"2015","unstructured":"Yong Du , Wei Wang , and Liang Wang . Hierarchical recurrent neural network for skeleton based action recognition . In IEEE Int. Conf. on Computer Vision and Pattern Recognition , pages 1110\u2013 1118 , 2015 . Yong Du, Wei Wang, and Liang Wang. Hierarchical recurrent neural network for skeleton based action recognition. In IEEE Int. Conf. on Computer Vision and Pattern Recognition, pages 1110\u20131118, 2015."},{"key":"e_1_3_2_1_9_1","volume-title":"Long Short-term Memory. Neural computation. 9. 1735-80. 10.1162\/neco.1997.9.8.1735","author":"Schmidhuber Sepp","year":"1997","unstructured":"Hochreiter, Sepp & Schmidhuber , J\u00fcrgen. ( 1997 ). Long Short-term Memory. Neural computation. 9. 1735-80. 10.1162\/neco.1997.9.8.1735 . Hochreiter, Sepp & Schmidhuber, J\u00fcrgen. (1997). Long Short-term Memory. Neural computation. 9. 1735-80. 10.1162\/neco.1997.9.8.1735."},{"key":"e_1_3_2_1_10_1","volume-title":"Understanding LSTM Networks","author":"C.","year":"2015","unstructured":"Olah, C. ( 2015 ). Understanding LSTM Networks . Olah, C. (2015). Understanding LSTM Networks."},{"key":"e_1_3_2_1_11_1","volume-title":"CoRR","author":"Chung Junyoung","year":"2014","unstructured":"Junyoung Chung , Caglar Gulcehre , KyungHyun Cho , Yoshua Bengio Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling , CoRR , 2014 . Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, Yoshua Bengio Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling, CoRR, 2014."},{"key":"e_1_3_2_1_12_1","volume-title":"AAAI","author":"Yan Sijie","year":"2018","unstructured":"Sijie Yan , Yuanjun Xiong , and Dahua Lin . Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition . In AAAI , 2018 . Sijie Yan, Yuanjun Xiong, and Dahua Lin. Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition. In AAAI, 2018."},{"key":"e_1_3_2_1_13_1","first-page":"10","article-title":"Dimensionality Reduction using PCA and K-Means Clustering for Breast Cancer Prediction. Lontar Komputer","volume":"192","author":"Handayani Ade","year":"2018","unstructured":"Jamal, Ade & Handayani , Annisa & Septiandri , Ali & Ripmiatin , Endang & Effendi , Yunus. ( 2018 ). Dimensionality Reduction using PCA and K-Means Clustering for Breast Cancer Prediction. Lontar Komputer : Jurnal Ilmiah Teknologi Informasi. 192. 10 .24843\/LKJITI.2018.v09.i03.p08. Jamal, Ade & Handayani, Annisa & Septiandri, Ali & Ripmiatin, Endang & Effendi, Yunus. (2018). Dimensionality Reduction using PCA and K-Means Clustering for Breast Cancer Prediction. Lontar Komputer : Jurnal Ilmiah Teknologi Informasi. 192. 10.24843\/LKJITI.2018.v09.i03.p08.","journal-title":"Jurnal Ilmiah Teknologi Informasi."},{"key":"e_1_3_2_1_14_1","first-page":"289","volume-title":"International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC)","author":"S. B.","year":"2017","unstructured":"S. B. Dabhade\u00a0et al., \" Double Layer PCA based Hyper Spectral Face Recognition using KNN Classifier ,\"\u00a02017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC) , Mysore , 2017 , pp. 289 - 293 , doi: 10.1109\/CTCEEC.2017.8455113. 10.1109\/CTCEEC.2017.8455113 S. B. Dabhade\u00a0et al., \"Double Layer PCA based Hyper Spectral Face Recognition using KNN Classifier,\"\u00a02017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), Mysore, 2017, pp. 289-293, doi: 10.1109\/CTCEEC.2017.8455113."},{"key":"e_1_3_2_1_15_1","first-page":"4362","volume-title":"Watch-n-patch: Unsupervised understanding of actions and relations,\" 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Wu C.","year":"2015","unstructured":"C. Wu , J. Zhang , S. Savarese and A. Saxena , \" Watch-n-patch: Unsupervised understanding of actions and relations,\" 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Boston, MA , 2015 , pp. 4362 - 4370 , doi: 10.1109\/CVPR.2015.7299065. 10.1109\/CVPR.2015.7299065 C. Wu, J. Zhang, S. Savarese and A. Saxena, \"Watch-n-patch: Unsupervised understanding of actions and relations,\" 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, 2015, pp. 4362-4370, doi: 10.1109\/CVPR.2015.7299065."},{"volume-title":"Watch-n-Patch: Unsupervised Learning of Actions and Relations,\" in IEEE Transactions on Pattern Analysis and Machine Intelligence","author":"Wu C.","key":"e_1_3_2_1_16_1","unstructured":"C. Wu , J. Zhang , O. Sener , B. Selman , S. Savarese and A. Saxena , \" Watch-n-Patch: Unsupervised Learning of Actions and Relations,\" in IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 40 , no. 2, pp. 467-481, 1 Feb. 2018, doi: 10.1109\/TPAMI.2017.2679054. 10.1109\/TPAMI.2017.2679054 C. Wu, J. Zhang, O. Sener, B. Selman, S. Savarese and A. Saxena, \"Watch-n-Patch: Unsupervised Learning of Actions and Relations,\" in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 2, pp. 467-481, 1 Feb. 2018, doi: 10.1109\/TPAMI.2017.2679054."},{"key":"e_1_3_2_1_17_1","first-page":"148","volume-title":"On Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks,\"\u00a02017 IEEE Winter Conference on Applications of Computer Vision (WACV)","author":"Zhang S.","year":"2017","unstructured":"S. Zhang , X. Liu and J. Xiao , \" On Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks,\"\u00a02017 IEEE Winter Conference on Applications of Computer Vision (WACV) , Santa Rosa, CA , 2017 , pp. 148 - 157 , doi: 10.1109\/WACV.2017.24. 10.1109\/WACV.2017.24 S. Zhang, X. Liu and J. Xiao, \"On Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks,\"\u00a02017 IEEE Winter Conference on Applications of Computer Vision (WACV), Santa Rosa, CA, 2017, pp. 148-157, doi: 10.1109\/WACV.2017.24."},{"key":"e_1_3_2_1_18_1","volume-title":"LSTMs for Human Activity Recognition","author":"Chevalier Guillaume","year":"2016","unstructured":"Guillaume Chevalier , LSTMs for Human Activity Recognition , 2016 ,\u00a0https:\/\/github.com\/guillaume-chevalier\/LSTM-Human-Activity-Recognition Guillaume Chevalier, LSTMs for Human Activity Recognition, 2016,\u00a0https:\/\/github.com\/guillaume-chevalier\/LSTM-Human-Activity-Recognition"},{"key":"e_1_3_2_1_19_1","volume-title":"3rd International Conference on Learning Representations","author":"Kingma Diederik P.","year":"2015","unstructured":"Diederik P. Kingma ,\u00a0 Jimmy Ba : Adam: A Method for Stochastic Optimization , 3rd International Conference on Learning Representations , 2015 . Diederik P. Kingma,\u00a0Jimmy Ba: Adam: A Method for Stochastic Optimization, 3rd International Conference on Learning Representations, 2015."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2019.8914457"},{"key":"e_1_3_2_1_21_1","volume-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)","author":"Liu Jun","year":"2019","unstructured":"Jun Liu , Amir Shahroudy , Mauricio Perez , Gang Wang , Ling-Yu Duan , Alex C. Kot , \" NTU RGB+D 120 : A Large-Scale Benchmark for 3D Human Activity Understanding \", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2019 . Jun Liu, Amir Shahroudy, Mauricio Perez, Gang Wang, Ling-Yu Duan, Alex C. Kot, \"NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding\", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"J. Yang W. Liu J. Yuan and T. Mei \"Hierarchical Soft Quantization for Skeleton-Based Human Action Recognition \" in\u00a0IEEE Transactions on Multimedia doi: 10.1109\/TMM.2020.2990082.    10.1109\/TMM.2020.2990082\nJ. Yang W. Liu J. Yuan and T. Mei \"Hierarchical Soft Quantization for Skeleton-Based Human Action Recognition \" in\u00a0IEEE Transactions on Multimedia doi: 10.1109\/TMM.2020.2990082.","DOI":"10.1109\/TMM.2020.2990082"},{"key":"e_1_3_2_1_23_1","volume-title":"InHARD - Industrial Human Action Recognition Dataset in the Context of Industrial Collaborative Robotics. IEEE International Conference on Human-Machine Systems (ICHMS).","author":"Mejdi ALLEL","year":"2020","unstructured":"ALLEL , Mejdi , HAVARD , Vincent , BAUDRY , David , & SAVATIER , Xavier . ( 2020 ). InHARD - Industrial Human Action Recognition Dataset in the Context of Industrial Collaborative Robotics. IEEE International Conference on Human-Machine Systems (ICHMS). ALLEL, Mejdi, HAVARD, Vincent, BAUDRY, David, & SAVATIER, Xavier. (2020). InHARD - Industrial Human Action Recognition Dataset in the Context of Industrial Collaborative Robotics. IEEE International Conference on Human-Machine Systems (ICHMS)."}],"event":{"name":"VSIP 2021: 2021 3rd International Conference on Video, Signal and Image Processing","acronym":"VSIP 2021","location":"Wuhan China"},"container-title":["2021 3rd International Conference on Video, Signal and Image Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503961.3503966","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503961.3503966","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:32Z","timestamp":1750188632000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503961.3503966"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,19]]},"references-count":23,"alternative-id":["10.1145\/3503961.3503966","10.1145\/3503961"],"URL":"https:\/\/doi.org\/10.1145\/3503961.3503966","relation":{},"subject":[],"published":{"date-parts":[[2021,11,19]]},"assertion":[{"value":"2022-03-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}