{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T11:15:13Z","timestamp":1780053313977,"version":"3.54.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,10,7]],"date-time":"2019-10-07T00:00:00Z","timestamp":1570406400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1329755"],"award-info":[{"award-number":["CNS-1329755"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"CONIX","award":["W911NF-17-2-0196"],"award-info":[{"award-number":["W911NF-17-2-0196"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,10,7]]},"DOI":"10.1145\/3349624.3356768","type":"proceedings-article","created":{"date-parts":[[2019,10,10]],"date-time":"2019-10-10T18:52:21Z","timestamp":1570733541000},"page":"51-56","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":277,"title":["RadHAR"],"prefix":"10.1145","author":[{"given":"Akash Deep","family":"Singh","sequence":"first","affiliation":[{"name":"University of California, Los Angeles, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sandeep Singh","family":"Sandha","sequence":"additional","affiliation":[{"name":"University of California, Los Angeles, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luis","family":"Garcia","sequence":"additional","affiliation":[{"name":"University of California, Los Angeles, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mani","family":"Srivastava","sequence":"additional","affiliation":[{"name":"University of California, Los Angeles, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,10,7]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.3390\/s151229858"},{"key":"e_1_3_2_1_2_1","unstructured":"John Bonifield. 2019. Cameras secretly recorded women in California hospital delivery rooms. https:\/\/www.cnn.com\/2019\/04\/02\/health\/hidden-cameras-california-hospital\/index.html"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2452946"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2015.7350781"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2015.130595"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2314068"},{"key":"e_1_3_2_1_7_1","volume-title":"IWR1443BOOST Evaluation Module User`s Guide","author":"Instruments Texas","unstructured":"Texas Instruments. 2018. IWR1443BOOST Evaluation Module User`s Guide. http:\/\/www.ti.com\/lit\/ug\/swru518c\/swru518c.pdf (2018). Accessed: 2019-07-05."},{"key":"e_1_3_2_1_8_1","volume-title":"IWR1443 single-chip 76-GHz to 81-GHz mmWave sensor evaluation module IWR1443BOOST (ACTIVE)","author":"Instruments Texas","unstructured":"Texas Instruments. 2019. IWR1443 single-chip 76-GHz to 81-GHz mmWave sensor evaluation module IWR1443BOOST (ACTIVE). http:\/\/www.ti.com\/tool\/IWR1443BOOST Accessed: 2019-07-05."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2009.2012849"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2011.6130379"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 652--660","author":"Qi Charles R","year":"2017","unstructured":"Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas. 2017. Pointnet: Deep learning on point sets for 3d classification and segmentation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 652--660."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2017.2775641"},{"key":"e_1_3_2_1_13_1","volume-title":"ActDetector: Detecting Daily Activities Using Smartwatches. In 2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 1--9.","author":"Sun Xiao","year":"2017","unstructured":"Xiao Sun, Li Qiu, Yibo Wu, and Guohong Cao. 2017. ActDetector: Detecting Daily Activities Using Smartwatches. In 2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 1--9."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2016.2557792"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3213344.3213351"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-012-0122-2"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/LSENS.2018.2889060","article-title":"Real-Time Human Motion Behavior Detection via CNN Using mmWave Radar","volume":"3","author":"Zhang Renyuan","year":"2018","unstructured":"Renyuan Zhang and Siyang Cao. 2018. Real-Time Human Motion Behavior Detection via CNN Using mmWave Radar. IEEE Sensors Letters , Vol. 3, 2 (2018), 1--4.","journal-title":"IEEE Sensors Letters"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/DCOSS.2019.00028"}],"event":{"name":"MobiCom '19: The 25th Annual International Conference on Mobile Computing and Networking","location":"Los Cabos Mexico","acronym":"MobiCom '19","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"]},"container-title":["Proceedings of the 3rd ACM Workshop on Millimeter-wave Networks and Sensing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3349624.3356768","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3349624.3356768","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3349624.3356768","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:19Z","timestamp":1750202599000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3349624.3356768"}},"subtitle":["Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar"],"short-title":[],"issued":{"date-parts":[[2019,10,7]]},"references-count":18,"alternative-id":["10.1145\/3349624.3356768","10.1145\/3349624"],"URL":"https:\/\/doi.org\/10.1145\/3349624.3356768","relation":{},"subject":[],"published":{"date-parts":[[2019,10,7]]},"assertion":[{"value":"2019-10-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}