{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T17:52:50Z","timestamp":1771005170632,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,6,8]],"date-time":"2020-06-08T00:00:00Z","timestamp":1591574400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"The R&D Program of Shenzhen","award":["JCYJ20180508152204044"],"award-info":[{"award-number":["JCYJ20180508152204044"]}]},{"name":"The National Natural Science Foundation of China","award":["?61771273"],"award-info":[{"award-number":["?61771273"]}]},{"name":"The research fund of PCL Future Regional Network Facilities for Large-scale Experiments and Applications","award":["PCL2018KP001"],"award-info":[{"award-number":["PCL2018KP001"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,6,8]]},"DOI":"10.1145\/3372278.3390702","type":"proceedings-article","created":{"date-parts":[[2020,6,2]],"date-time":"2020-06-02T04:35:27Z","timestamp":1591072527000},"page":"464-471","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Multi-level Recognition on Falls from Activities of Daily Living"],"prefix":"10.1145","author":[{"given":"Jiawei","family":"Li","sequence":"first","affiliation":[{"name":"Tsinghua University, Beijing, China"}]},{"given":"Shu-Tao","family":"Xia","sequence":"additional","affiliation":[{"name":"PengCheng Laboratory, Shenzhen, China"}]},{"given":"Qianggang","family":"Ding","sequence":"additional","affiliation":[{"name":"Tsinghua University, Shenzhen, China"}]}],"member":"320","published-online":{"date-parts":[[2020,6,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00762"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.618"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1049\/htl.2015.0047"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.331"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/SITIS.2012.155"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00734"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-013-0493-7"},{"key":"e_1_3_2_1_10_1","volume-title":"RT-ADI: Fast Real-Time Video Representation for Multi-view Human Fall Detection. In 2019 IEEE International Conference on Multimedia & Expo Workshops. IEEE, 13--18","author":"Ding Qianggang","year":"2019","unstructured":"Qianggang Ding , Fan Yang , Jiawei Li , Sifan Wu , Bowen Zhao , Zhi Wang , and Shu-Tao Xia . 2019 . RT-ADI: Fast Real-Time Video Representation for Multi-view Human Fall Detection. In 2019 IEEE International Conference on Multimedia & Expo Workshops. IEEE, 13--18 . Qianggang Ding, Fan Yang, Jiawei Li, Sifan Wu, Bowen Zhao, Zhi Wang, and Shu-Tao Xia. 2019. RT-ADI: Fast Real-Time Video Representation for Multi-view Human Fall Detection. In 2019 IEEE International Conference on Multimedia & Expo Workshops. IEEE, 13--18."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/DATE.2010.5457055"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298878"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.02.082"},{"key":"e_1_3_2_1_14_1","volume-title":"Video-based Fall Detection for Seniors with Human Pose Estimation. In 4th International Conference on Universal Village. IEEE, 1--4.","author":"Huang Zhanyuan","year":"2018","unstructured":"Zhanyuan Huang , Yang Liu , Yajun Fang , and Berthold KP Horn . 2018 . Video-based Fall Detection for Seniors with Human Pose Estimation. In 4th International Conference on Universal Village. IEEE, 1--4. Zhanyuan Huang, Yang Liu, Yajun Fang, and Berthold KP Horn. 2018. Video-based Fall Detection for Seniors with Human Pose Estimation. In 4th International Conference on Universal Village. IEEE, 1--4."},{"key":"e_1_3_2_1_15_1","volume-title":"Human fall detection on embedded platform using depth maps and wireless accelerometer. Computer methods and programs in biomedicine","author":"Kwolek Bogdan","year":"2014","unstructured":"Bogdan Kwolek and Michal Kepski . 2014. Human fall detection on embedded platform using depth maps and wireless accelerometer. Computer methods and programs in biomedicine , Vol. 117 , 3 ( 2014 ), 489--501. Bogdan Kwolek and Michal Kepski. 2014. Human fall detection on embedded platform using depth maps and wireless accelerometer. Computer methods and programs in biomedicine, Vol. 117, 3 (2014), 489--501."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.05.061"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.115"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.09.037"},{"key":"e_1_3_2_1_19_1","volume-title":"Vision-based fall detection with convolutional neural networks. Wireless communications and mobile computing","author":"Marcos Adri\u00e1n N\u00fa","year":"2017","unstructured":"Adri\u00e1n N\u00fa nez- Marcos , Gorka Azkune , and Ignacio Arganda-Carreras . 2017. Vision-based fall detection with convolutional neural networks. Wireless communications and mobile computing , Vol. 2017 ( 2017 ). Adri\u00e1n N\u00fa nez-Marcos, Gorka Azkune, and Ignacio Arganda-Carreras. 2017. Vision-based fall detection with convolutional neural networks. Wireless communications and mobile computing, Vol. 2017 (2017)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/AINAW.2007.181"},{"key":"e_1_3_2_1_21_1","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Two-stream convolutional networks for action recognition in videos. In Advances in neural information processing systems. 568--576.  Karen Simonyan and Andrew Zisserman. 2014. Two-stream convolutional networks for action recognition in videos. In Advances in neural information processing systems. 568--576."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.170"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2014.2312180"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00155"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.678"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_2"},{"key":"e_1_3_2_1_28_1","volume-title":"WHO global report on falls prevention in older age","author":"WHO.","unstructured":"WHO. 2008. WHO global report on falls prevention in older age . World Health Organization and World Health Organization . Ageing and Life Course Unit. WHO. 2008. WHO global report on falls prevention in older age .World Health Organization and World Health Organization. Ageing and Life Course Unit."},{"key":"e_1_3_2_1_29_1","volume-title":"Pose Flow: Efficient Online Pose Tracking. In The British Machine Vision Conference.","author":"Xiu Yuliang","year":"2018","unstructured":"Yuliang Xiu , Jiefeng Li , Haoyu Wang , Yinghong Fang , and Cewu Lu . 2018 . Pose Flow: Efficient Online Pose Tracking. In The British Machine Vision Conference. Yuliang Xiu, Jiefeng Li, Haoyu Wang, Yinghong Fang, and Cewu Lu. 2018. Pose Flow: Efficient Online Pose Tracking. In The British Machine Vision Conference."},{"key":"e_1_3_2_1_30_1","volume-title":"Proceedings of the European Conference on Computer Vision.","author":"Zhang Yan","year":"2018","unstructured":"Yan Zhang and Heiko Neumann . 2018 . An empirical study towards understanding how deep convolutional nets recognize falls . In Proceedings of the European Conference on Computer Vision. Yan Zhang and Heiko Neumann. 2018. An empirical study towards understanding how deep convolutional nets recognize falls. In Proceedings of the European Conference on Computer Vision."}],"event":{"name":"ICMR '20: International Conference on Multimedia Retrieval","location":"Dublin Ireland","acronym":"ICMR '20","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 2020 International Conference on Multimedia Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3372278.3390702","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3372278.3390702","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:33:24Z","timestamp":1750199604000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3372278.3390702"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,8]]},"references-count":29,"alternative-id":["10.1145\/3372278.3390702","10.1145\/3372278"],"URL":"https:\/\/doi.org\/10.1145\/3372278.3390702","relation":{},"subject":[],"published":{"date-parts":[[2020,6,8]]},"assertion":[{"value":"2020-06-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}