{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T07:52:32Z","timestamp":1759564352111,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,9,11]],"date-time":"2022-09-11T00:00:00Z","timestamp":1662854400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Carl Zeiss Stiftung","award":["P2021-02-009"],"award-info":[{"award-number":["P2021-02-009"]}]},{"name":"BMBF (German Federal Ministry of Education and Research)","award":["01IW21003"],"award-info":[{"award-number":["01IW21003"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,9,11]]},"DOI":"10.1145\/3544794.3558464","type":"proceedings-article","created":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T16:50:21Z","timestamp":1672159821000},"page":"28-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognition"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8371-2921","authenticated-orcid":false,"given":"Vitor","family":"Fortes Rey","sequence":"first","affiliation":[{"name":"Embedded Intelligence, Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz, Germany and Informatik, University of Kaiserslautern, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3723-1980","authenticated-orcid":false,"given":"Sungho","family":"Suh","sequence":"additional","affiliation":[{"name":"Embedded Intelligence, German Research Center for Artificial Intelligence, Germany and Department of Computer Science, Technical Univeristy of Kaiserslautern, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0320-6656","authenticated-orcid":false,"given":"Paul","family":"Lukowicz","sequence":"additional","affiliation":[{"name":"DFKI, Germany and University of Kaiserslautern, Germany"}]}],"member":"320","published-online":{"date-parts":[[2022,12,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2012.12.014"},{"key":"e_1_3_2_1_3_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805(2018).","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805(2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805(2018)."},{"key":"e_1_3_2_1_4_1","volume-title":"Quo vadis, skeleton action recognition?International Journal of Computer Vision 129, 7","author":"Gupta Pranay","year":"2021","unstructured":"Pranay Gupta , Anirudh Thatipelli , Aditya Aggarwal , Shubh Maheshwari , Neel Trivedi , Sourav Das , and Ravi\u00a0Kiran Sarvadevabhatla . 2021. Quo vadis, skeleton action recognition?International Journal of Computer Vision 129, 7 ( 2021 ), 2097\u20132112. Pranay Gupta, Anirudh Thatipelli, Aditya Aggarwal, Shubh Maheshwari, Neel Trivedi, Sourav Das, and Ravi\u00a0Kiran Sarvadevabhatla. 2021. Quo vadis, skeleton action recognition?International Journal of Computer Vision 129, 7 (2021), 2097\u20132112."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3460421.3480421"},{"key":"e_1_3_2_1_7_1","volume-title":"ECAI","author":"Mahmud Saif","year":"2020","unstructured":"Saif Mahmud , M Tanjid Hasan\u00a0Tonmoy , Kishor Kumar\u00a0Bhaumik , AKM Mahbubur\u00a0Rahman , M Ashraful\u00a0Amin , Mohammad Shoyaib , Muhammad Asif Hossain\u00a0Khan , and Amin Ahsan\u00a0Ali . 2020 . Human Activity Recognition from Wearable Sensor Data Using Self-Attention . In ECAI 2020. IOS Press, 1332\u20131339. Saif Mahmud, M Tanjid Hasan\u00a0Tonmoy, Kishor Kumar\u00a0Bhaumik, AKM Mahbubur\u00a0Rahman, M Ashraful\u00a0Amin, Mohammad Shoyaib, Muhammad Asif Hossain\u00a0Khan, and Amin Ahsan\u00a0Ali. 2020. Human Activity Recognition from Wearable Sensor Data Using Self-Attention. In ECAI 2020. IOS Press, 1332\u20131339."},{"key":"e_1_3_2_1_8_1","first-page":"4733","article-title":"Learning representations from audio-visual spatial alignment","volume":"33","author":"Morgado Pedro","year":"2020","unstructured":"Pedro Morgado , Yi Li , and Nuno Nvasconcelos . 2020 . Learning representations from audio-visual spatial alignment . Advances in Neural Information Processing Systems 33 (2020), 4733 \u2013 4744 . Pedro Morgado, Yi Li, and Nuno Nvasconcelos. 2020. Learning representations from audio-visual spatial alignment. Advances in Neural Information Processing Systems 33 (2020), 4733\u20134744.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01229"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.3390\/s16010115"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2021.103219"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2012.13"},{"key":"e_1_3_2_1_13_1","volume-title":"Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition. In 2022 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE, 217\u2013226","author":"Suh Sungho","year":"2022","unstructured":"Sungho Suh , Vitor\u00a0Fortes Rey , and Paul Lukowicz . 2022 . Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition. In 2022 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE, 217\u2013226 . Sungho Suh, Vitor\u00a0Fortes Rey, and Paul Lukowicz. 2022. Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition. In 2022 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE, 217\u2013226."},{"key":"e_1_3_2_1_14_1","volume-title":"Representation learning with contrastive predictive coding. arXiv e-prints","author":"Oord Aaron Van\u00a0den","year":"2018","unstructured":"Aaron Van\u00a0den Oord , Yazhe Li , and Oriol Vinyals . 2018. Representation learning with contrastive predictive coding. arXiv e-prints ( 2018 ), arXiv\u20131807. Aaron Van\u00a0den Oord, Yazhe Li, and Oriol Vinyals. 2018. Representation learning with contrastive predictive coding. arXiv e-prints (2018), arXiv\u20131807."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Huiyuan Yang Han Yu Kusha Sridhar Thomas Vaessen Inez Myin-Germeys and Akane Sano. 2022. More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors. arXiv preprint arXiv:2202.08267(2022).  Huiyuan Yang Han Yu Kusha Sridhar Thomas Vaessen Inez Myin-Germeys and Akane Sano. 2022. More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors. arXiv preprint arXiv:2202.08267(2022).","DOI":"10.1109\/EMBC48229.2022.9871472"},{"key":"e_1_3_2_1_16_1","unstructured":"Jianbo Yang Minh\u00a0Nhut Nguyen Phyo\u00a0Phyo San Xiao\u00a0Li Li and Shonali Krishnaswamy. 2015. Deep convolutional neural networks on multichannel time series for human activity recognition. In Twenty-fourth international joint conference on artificial intelligence.  Jianbo Yang Minh\u00a0Nhut Nguyen Phyo\u00a0Phyo San Xiao\u00a0Li Li and Shonali Krishnaswamy. 2015. Deep convolutional neural networks on multichannel time series for human activity recognition. In Twenty-fourth international joint conference on artificial intelligence."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3550320"}],"event":{"name":"UbiComp\/ISWC '22: The 2022 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":"Cambridge United Kingdom","acronym":"UbiComp\/ISWC '22"},"container-title":["Proceedings of the 2022 ACM International Symposium on Wearable Computers"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3544794.3558464","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3544794.3558464","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:00:06Z","timestamp":1750186806000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3544794.3558464"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,11]]},"references-count":17,"alternative-id":["10.1145\/3544794.3558464","10.1145\/3544794"],"URL":"https:\/\/doi.org\/10.1145\/3544794.3558464","relation":{},"subject":[],"published":{"date-parts":[[2022,9,11]]},"assertion":[{"value":"2022-12-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}