{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T16:01:27Z","timestamp":1776096087579,"version":"3.50.1"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,4]],"date-time":"2021-08-04T00:00:00Z","timestamp":1628035200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,4]],"date-time":"2021-08-04T00:00:00Z","timestamp":1628035200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,4]]},"DOI":"10.1109\/ijcb52358.2021.9484410","type":"proceedings-article","created":{"date-parts":[[2021,7,20]],"date-time":"2021-07-20T20:34:10Z","timestamp":1626813250000},"page":"1-8","source":"Crossref","is-referenced-by-count":76,"title":["Contrastive Self-supervised Learning for Sensor-based Human Activity Recognition"],"prefix":"10.1109","author":[{"given":"Bulat","family":"Khaertdinov","sequence":"first","affiliation":[{"name":"Maastricht University,Maastricht,Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Esam","family":"Ghaleb","sequence":"additional","affiliation":[{"name":"Maastricht University,Maastricht,Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stylianos","family":"Asteriadis","sequence":"additional","affiliation":[{"name":"Maastricht University,Maastricht,Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"437","article-title":"A public domain dataset for human activity recognition using smartphones","volume-title":"Proceedings of the 21th International European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning","author":"Anguita"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.10.017"},{"key":"ref3","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"Proceedings of the 37th International Conference on Machine Learning, volume 119 of Proceedings of Machine Learning Research","author":"Chen"},{"key":"ref4","article-title":"Bootstrap your own latent: A new approach to self-supervised learning","author":"Grill","year":"2020"},{"key":"ref5","first-page":"1533","article-title":"Deep, convolutional, and recurrent models for human activity recognition using wearables","volume-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI\u201916","author":"Hammerla"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3341163.3347727"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3410531.3414306"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3463506"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref10","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume-title":"Proceedings of the 32nd International Conference on Machine Learning, volume 37 of Proceedings of Machine Learning Research","author":"Ioffe"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOM50583.2021.9439116"},{"key":"ref12","article-title":"Adam: A method for stochastic optimization","volume-title":"Proceedings of the 3rd International Conference on Learning Representations (ICLR)","author":"Kingma"},{"key":"ref13","first-page":"1332","article-title":"Human activity recognition from wearable sensor data using self-attention","volume-title":"ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020","author":"Mahmud"},{"key":"ref14","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","volume-title":"Proceedings of the 27th International Conference on International Conference on Machine Learning, ICML\u201910","author":"Nair"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/s16010115"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2019.2899927"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3328932"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.08.249"},{"issue":"56","key":"ref19","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.29007\/bld3"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_45"},{"key":"ref22","article-title":"Representation learning with contrastive predictive coding","author":"van den Oord","year":"2018","journal-title":"CoRR"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.5220\/0005792401430151"},{"key":"ref24","first-page":"3995","article-title":"Deep convolutional neural networks on multichannel time series for human activity recognition","volume-title":"Proceedings of the 24th International Conference on Artificial Intelligence, IJCAI\u201915","author":"Yang"},{"key":"ref25","article-title":"Large batch training of convolutional networks","author":"You","year":"2017","journal-title":"arXiv: Computer Vision and Pattern Recognition"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3267242.3267286"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2370216.2370438"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7316954"}],"event":{"name":"2021 IEEE International Joint Conference on Biometrics (IJCB)","location":"Shenzhen, China","start":{"date-parts":[[2021,8,4]]},"end":{"date-parts":[[2021,8,7]]}},"container-title":["2021 IEEE International Joint Conference on Biometrics (IJCB)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9484326\/9484328\/09484410.pdf?arnumber=9484410","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T04:54:15Z","timestamp":1725252855000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9484410\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,4]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/ijcb52358.2021.9484410","relation":{},"subject":[],"published":{"date-parts":[[2021,8,4]]}}}