{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T10:08:28Z","timestamp":1767262108269,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,5]],"date-time":"2024-10-05T00:00:00Z","timestamp":1728086400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"This research is funded by the German Federal Ministry for Economic Affairs and Climate Action (BMWK) in context of the ZIM program (Zentrales Innovationsprogramm Mittelstand), grant number KK5110002MA3.","award":["KK5110002MA3"],"award-info":[{"award-number":["KK5110002MA3"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,5]]},"DOI":"10.1145\/3675094.3678465","type":"proceedings-article","created":{"date-parts":[[2024,9,22]],"date-time":"2024-09-22T00:31:48Z","timestamp":1726965108000},"page":"897-903","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Domain Adaptation in Human Activity Recognition through Self-Training"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-1783-0675","authenticated-orcid":false,"given":"Moh'd Khier","family":"Al Kfari","sequence":"first","affiliation":[{"name":"Institute for Visual &amp; Analytic Computing, University of Rostock, Rostock, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1488-4236","authenticated-orcid":false,"given":"Stefan","family":"L\u00fcdtke","sequence":"additional","affiliation":[{"name":"Institute for Visual &amp; Analytic Computing, University of Rostock, Rostock, Germany"}]}],"member":"320","published-online":{"date-parts":[[2024,10,5]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"'Global: smartwatches number of users 2019--2028.' https:\/\/www.statista.com\/ forecasts\/1314339\/worldwide-users-of-smartwatches. Accessed: 2024--3--12."},{"volume-title":"A tutorial on human activity recognition using body-worn inertial sensors,' ACM Computing Surveys (CSUR)","author":"Bulling A.","key":"e_1_3_2_1_2_1","unstructured":"A. Bulling, U. Blanke, and B. Schiele, 'A tutorial on human activity recognition using body-worn inertial sensors,' ACM Computing Surveys (CSUR), vol. 46, no. 3, pp. 1--33, 2014."},{"key":"e_1_3_2_1_3_1","first-page":"109","author":"Kwon H.","year":"2019","unstructured":"H. Kwon, G. D. Abowd, and T. Pl\u00f6tz, 'Handling annotation uncertainty in human activity recognition,' in Proceedings of the 23rd International Symposium on Wearable Computers, pp. 109--117, 2019.","journal-title":"'Handling annotation uncertainty in human activity recognition,' in Proceedings of the 23rd International Symposium on Wearable Computers"},{"key":"e_1_3_2_1_4_1","first-page":"166","volume-title":"Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation","author":"Cruciani F.","year":"2019","unstructured":"F. Cruciani, C. Sun, S. Zhang, C. Nugent, C. Li, S. Song, C. Cheng, I. Cleland, and P. Mccullagh, 'A public domain dataset for human activity recognition in freeliving conditions,' in 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, pp. 166--171, IEEE, 2019."},{"key":"e_1_3_2_1_5_1","volume-title":"Selfhar: Improving human activity recognition through self-training with unlabeled data,' arXiv preprint arXiv:2102.06073","author":"Tang C. I.","year":"2021","unstructured":"C. I. Tang, I. Perez-Pozuelo, D. Spathis, S. Brage, N. Wareham, and C. Mascolo, 'Selfhar: Improving human activity recognition through self-training with unlabeled data,' arXiv preprint arXiv:2102.06073, 2021."},{"key":"e_1_3_2_1_6_1","first-page":"35","volume-title":"Transfer learning across human activities using a cascade neural network architecture,' in Proceedings of the 2019 ACM International Symposium on Wearable Computers","author":"Du X.","year":"2019","unstructured":"X. Du, K. Farrahi, and M. Niranjan, 'Transfer learning across human activities using a cascade neural network architecture,' in Proceedings of the 2019 ACM International Symposium on Wearable Computers, pp. 35--44, 2019."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3328932"},{"key":"e_1_3_2_1_8_1","volume-title":"Contrasgan: Unsupervised domain adaptation in human activity recognition via adversarial and contrastive learning,' Pervasive and Mobile Computing","author":"Sanabria A. R.","year":"2021","unstructured":"A. R. Sanabria, F. Zambonelli, S. Dobson, and J. Ye, 'Contrasgan: Unsupervised domain adaptation in human activity recognition via adversarial and contrastive learning,' Pervasive and Mobile Computing, vol. 78, p. 101477, 2021."},{"key":"e_1_3_2_1_9_1","first-page":"1","volume-title":"Xhar: Deep domain adaptation for human activity recognition with smart devices,' in 2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","author":"Zhou Z.","year":"2020","unstructured":"Z. Zhou, Y. Zhang, X. Yu, P. Yang, X.-Y. Li, J. Zhao, and H. Zhou, 'Xhar: Deep domain adaptation for human activity recognition with smart devices,' in 2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), pp. 1--9, IEEE, 2020."},{"key":"e_1_3_2_1_10_1","volume-title":"Billion-scale semisupervised learning for image classification,' arXiv preprint arXiv:1905.00546","author":"Yalniz I. Z.","year":"2019","unstructured":"I. Z. Yalniz, H. J\u00e9gou, K. Chen, M. Paluri, and D. Mahajan, 'Billion-scale semisupervised learning for image classification,' arXiv preprint arXiv:1905.00546, 2019."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3136755.3136817"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2413097.2413148"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2012.13"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOM.2016.7456521"},{"key":"e_1_3_2_1_15_1","first-page":"1","volume-title":"Design, implementation and validation of a novel open framework for agile development of mobile health applications,' Biomedical engineering online","author":"Banos O.","year":"2015","unstructured":"O. Banos, C. Villalonga, R. Garcia, A. Saez, M. Damas, J. A. Holgado-Terriza, S. Lee, H. Pomares, and I. Rojas, 'Design, implementation and validation of a novel open framework for agile development of mobile health applications,' Biomedical engineering online, vol. 14, pp. 1--20, 2015."},{"key":"e_1_3_2_1_16_1","first-page":"91","volume-title":"6th International Work-Conference, IWAAL 2014, Belfast, UK, December 2--5, 2014. Proceedings 6","author":"Banos O.","year":"2014","unstructured":"O. Banos, R. Garcia, J. A. Holgado-Terriza, M. Damas, H. Pomares, I. Rojas, A. Saez, and C. Villalonga, 'mhealthdroid: a novel framework for agile development of mobile health applications,' in Ambient Assisted Living and Daily Activities: 6th International Work-Conference, IWAAL 2014, Belfast, UK, December 2--5, 2014. Proceedings 6, pp. 91--98, Springer, 2014."},{"issue":"4","key":"e_1_3_2_1_17_1","first-page":"628","volume":"31","author":"Osmani V.","year":"2008","unstructured":"V. Osmani, S. Balasubramaniam, and D. Botvich, 'Human activity recognition in pervasive health-care: Supporting efficient remote collaboration,' Journal of network and computer applications, vol. 31, no. 4, pp. 628--655, 2008.","journal-title":"'Human activity recognition in pervasive health-care: Supporting efficient remote collaboration,' Journal of network and computer applications"},{"key":"e_1_3_2_1_18_1","first-page":"1","volume-title":"Multi-sensor fusion based on multiple classifier systems for human activity identification,' Human-centric Computing and Information Sciences","author":"Nweke H. F.","year":"2019","unstructured":"H. F. Nweke, Y. W. Teh, G. Mujtaba, U. R. Alo, and M. A. Al-garadi, 'Multi-sensor fusion based on multiple classifier systems for human activity identification,' Human-centric Computing and Information Sciences, vol. 9, pp. 1--44, 2019."},{"key":"e_1_3_2_1_19_1","volume-title":"Confidence estimation using unlabeled data,' arXiv preprint arXiv:2307.10440","author":"Li C.","year":"2023","unstructured":"C. Li, X. Hu, and C. Chen, 'Confidence estimation using unlabeled data,' arXiv preprint arXiv:2307.10440, 2023."},{"key":"e_1_3_2_1_20_1","first-page":"3723","author":"Saito K.","year":"2018","unstructured":"K. Saito, K.Watanabe, Y. Ushiku, and T. Harada, 'Maximum classifier discrepancy for unsupervised domain adaptation,' in Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 3723--3732, 2018.","journal-title":"'Maximum classifier discrepancy for unsupervised domain adaptation,' in Proceedings of the IEEE conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_21_1","volume-title":"Lightweight transformer in federated setting for human activity recognition,? arXiv preprint arXiv:2110.00244","author":"Raza A.","year":"2021","unstructured":"A. Raza, K. P. Tran, L. Koehl, S. Li, X. Zeng, and K. Benzaidi, 'Lightweight transformer in federated setting for human activity recognition,? arXiv preprint arXiv:2110.00244, 2021."}],"event":{"name":"UbiComp '24: The 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGSPATIAL ACM Special Interest Group on Spatial Information"],"location":"Melbourne VIC Australia","acronym":"UbiComp '24"},"container-title":["Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3675094.3678465","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3675094.3678465","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:09:38Z","timestamp":1755839378000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3675094.3678465"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,5]]},"references-count":21,"alternative-id":["10.1145\/3675094.3678465","10.1145\/3675094"],"URL":"https:\/\/doi.org\/10.1145\/3675094.3678465","relation":{},"subject":[],"published":{"date-parts":[[2024,10,5]]},"assertion":[{"value":"2024-10-05","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}