{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T21:03:12Z","timestamp":1754600592443,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,9,25]],"date-time":"2020-09-25T00:00:00Z","timestamp":1600992000000},"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":[[2020,9,25]]},"DOI":"10.1145\/3412060.3418430","type":"proceedings-article","created":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T10:05:48Z","timestamp":1601373948000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["Human Activity Classification Using mm-Wave FMCW Radar by Improved Representation Learning"],"prefix":"10.1145","author":[{"given":"Thomas","family":"Stadelmayer","sequence":"first","affiliation":[{"name":"Friedrich-Alexander University, Infineon Technologies, AG Munich, Germany"}]},{"given":"Markus","family":"Stadelmayer","sequence":"additional","affiliation":[{"name":"Johannes Kepler University, Linz, Austria"}]},{"given":"Avik","family":"Santra","sequence":"additional","affiliation":[{"name":"Infineon Technologies, AG Munich, Germany"}]},{"given":"Robert","family":"Weigel","sequence":"additional","affiliation":[{"name":"Friedrich-Alexander University, Erlangen, Germany"}]},{"given":"Fabian","family":"Lurz","sequence":"additional","affiliation":[{"name":"Friedrich-Alexander University, Erlangen, Germany"}]}],"member":"320","published-online":{"date-parts":[[2020,9,29]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-7788(99)00040-7"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2938725"},{"key":"e_1_3_2_1_4_1","volume-title":"Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning. ArXiv abs\/1908.01281","author":"He Lanqing","year":"2020","unstructured":"Lanqing He, Zhongdao Wang, Yongzeng Li, and Shengjin Wang. 2020. Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning. ArXiv abs\/1908.01281 (2020)."},{"key":"e_1_3_2_1_5_1","volume-title":"Human Activity Classification with Frequency Modulated Continuous Wave Radar Using Deep Convolutional Neural Networks. In 2019 International Radar Conference (RADAR). IEEE, 1--6.","author":"Hernang\u00f3mez Rodrigo","year":"2019","unstructured":"Rodrigo Hernang\u00f3mez, Avik Santra, and Slawomir Sta\u0144czak. 2019. Human Activity Classification with Frequency Modulated Continuous Wave Radar Using Deep Convolutional Neural Networks. In 2019 International Radar Conference (RADAR). IEEE, 1--6."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2311819"},{"key":"e_1_3_2_1_7_1","volume-title":"Human detection and activity classification based on micro-Doppler signatures using deep convolutional neural networks","author":"Kim Youngwook","year":"2015","unstructured":"Youngwook Kim and Taesup Moon. 2015. Human detection and activity classification based on micro-Doppler signatures using deep convolutional neural networks. IEEE geoscience and remote sensing letters 13, 1 (2015), 8--12."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2018.2872849"},{"key":"e_1_3_2_1_9_1","volume-title":"SphereFace: Deep Hypersphere Embedding for Face Recognition. CoRR abs\/1704.08063","author":"Liu Weiyang","year":"2017","unstructured":"Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, and Le Song. 2017. SphereFace: Deep Hypersphere Embedding for Face Recognition. CoRR abs\/1704.08063 (2017). arXiv:1704.08063 http:\/\/arxiv.org\/abs\/1704.08063"},{"key":"e_1_3_2_1_10_1","volume-title":"Multi-Person Continuous Tracking and Identification from mm-Wave micro-Doppler Signatures. arXiv: Signal Processing","author":"Pegoraro Jacopo","year":"2020","unstructured":"Jacopo Pegoraro, Francesca Meneghello, and Michele Rossi. 2020. Multi-Person Continuous Tracking and Identification from mm-Wave micro-Doppler Signatures. arXiv: Signal Processing (2020)."},{"key":"e_1_3_2_1_11_1","volume-title":"Raghavendran Vagarappan Ulaganathan, and Thomas Finke","author":"Santra Avik","year":"2018","unstructured":"Avik Santra, Raghavendran Vagarappan Ulaganathan, and Thomas Finke. 2018. Short-range millimetric-wave radar system for occupancy sensing application. IEEE sensors letters 2, 3 (2018), 1--4."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.220"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSENS.2020.2991367"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2822810"},{"key":"e_1_3_2_1_16_1","volume-title":"CosFace: Large Margin Cosine Loss for Deep Face Recognition. CoRR abs\/1801.09414","author":"Wang Hao","year":"2018","unstructured":"Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Zhifeng Li, Dihong Gong, Jingchao Zhou, and Wei Liu. 2018. CosFace: Large Margin Cosine Loss for Deep Face Recognition. CoRR abs\/1801.09414 (2018). arXiv:1801.09414 http:\/\/arxiv.org\/abs\/1801.09414"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSENS.2018.2878041"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_31"},{"key":"e_1_3_2_1_19_1","volume-title":"Radar Sensor Technology XX","volume":"9829","author":"Zenaldin Matthew","year":"2016","unstructured":"Matthew Zenaldin and Ram M Narayanan. 2016. Radar micro-Doppler based human activity classification for indoor and outdoor environments. In Radar Sensor Technology XX, Vol. 9829. International Society for Optics and Photonics, 98291B."}],"event":{"name":"MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"],"location":"London United Kingdom","acronym":"MobiCom '20"},"container-title":["Proceedings of the 4th ACM Workshop on Millimeter-Wave Networks and Sensing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3412060.3418430","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3412060.3418430","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:25:00Z","timestamp":1750195500000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3412060.3418430"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,25]]},"references-count":19,"alternative-id":["10.1145\/3412060.3418430","10.1145\/3412060"],"URL":"https:\/\/doi.org\/10.1145\/3412060.3418430","relation":{},"subject":[],"published":{"date-parts":[[2020,9,25]]},"assertion":[{"value":"2020-09-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}