{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T08:57:38Z","timestamp":1765357058746},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,28]],"date-time":"2021-09-28T00:00:00Z","timestamp":1632787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,28]],"date-time":"2021-09-28T00:00:00Z","timestamp":1632787200000},"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":[[2021,9,28]]},"DOI":"10.1109\/aciiw52867.2021.9666360","type":"proceedings-article","created":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T21:14:00Z","timestamp":1641849240000},"source":"Crossref","is-referenced-by-count":24,"title":["Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition"],"prefix":"10.1109","author":[{"given":"Anubhav","family":"Bhatti","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering,Kingston,Canada"}]},{"given":"Behnam","family":"Behinaein","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering,Kingston,Canada"}]},{"given":"Dirk","family":"Rodenburg","sequence":"additional","affiliation":[{"name":"Queen&#x0027;s University,Ingenuity Labs Research Institute,Kingston,Canada"}]},{"given":"Paul","family":"Hungler","sequence":"additional","affiliation":[{"name":"Queen&#x0027;s University,Ingenuity Labs Research Institute,Kingston,Canada"}]},{"given":"Ali","family":"Etemad","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering,Kingston,Canada"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358160"},{"key":"ref11","first-page":"97","article-title":"Continuous inference of psychological stress from sensory measurements collected in the natural environment","author":"plarre","year":"0","journal-title":"Proceedings of the 10th ACM\/IEEE International Conference on Information Processing in Sensor Networks"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2916015"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/s20174723"},{"key":"ref14","first-page":"1","article-title":"X-cnn: Cross-modal convolutional neural networks for sparse datasets","author":"veli?kovi?","year":"0","journal-title":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)"},{"key":"ref15","article-title":"Xflow: Cross-modal deep neural networks for audiovisual classification","author":"cangea","year":"2019","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"ref16","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/BigDIA51454.2020.00054"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2956998"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.134"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SiPS47522.2019.9020321"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2015.316"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1089\/tmj.2017.0250"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2009.2036164"},{"key":"ref8","first-page":"1","article-title":"Self-supervised ecg representation learning for emotion recognition","author":"sarkar","year":"2020","journal-title":"IEEE Transactions on Affective Computing"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2019.8925507"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/11573548_125"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053985"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1140.001.0001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.1985.325532"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3242969.3242985"},{"key":"ref24","first-page":"1","article-title":"Ecg biometric recognition without fiducial detection","author":"plataniotis","year":"0","journal-title":"2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference"},{"key":"ref23","author":"ross","year":"2020","journal-title":"Unsupervised multi-modal representation learning for affective computing with multi-corpus wearable data"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CICN49253.2020.9242568"}],"event":{"name":"2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)","location":"Nara, Japan","start":{"date-parts":[[2021,9,28]]},"end":{"date-parts":[[2021,10,1]]}},"container-title":["2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9666213\/9666196\/09666360.pdf?arnumber=9666360","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T00:13:10Z","timestamp":1659485590000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9666360\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,28]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/aciiw52867.2021.9666360","relation":{},"subject":[],"published":{"date-parts":[[2021,9,28]]}}}