{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T02:15:14Z","timestamp":1775614514591,"version":"3.50.1"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1109\/cbmi.2018.8516497","type":"proceedings-article","created":{"date-parts":[[2018,11,19]],"date-time":"2018-11-19T20:53:35Z","timestamp":1542660815000},"page":"1-6","source":"Crossref","is-referenced-by-count":38,"title":["Towards Independent Stress Detection: A Dependent Model Using Facial Action Units"],"prefix":"10.1109","author":[{"given":"Carla","family":"Viegas","sequence":"first","affiliation":[]},{"given":"Shing-Hon","family":"Lau","sequence":"additional","affiliation":[]},{"given":"Roy","family":"Maxion","sequence":"additional","affiliation":[]},{"given":"Alexander","family":"Hauptmann","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7026203"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1109\/T-AFFC.2011.10","article-title":"Dynamic cascades with bidirectional bootstrapping for action unit detection in spontaneous facial behavior","volume":"2","author":"zhu","year":"2011","journal-title":"IEEE Transactions on Affective Computing"},{"key":"ref12","author":"association","year":"0","journal-title":"Understaunder chronic stress"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2005.848368"},{"key":"ref14","first-page":"282","article-title":"Activity-aware mental stress detection using physiological sensors","author":"sun","year":"2010","journal-title":"International Conference on Mobile Computing Applications and Services"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24600-5_16"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"6075","DOI":"10.3390\/s120506075","article-title":"A stress sensor based on galvanic skin response (gsr) controlled by zigbee","volume":"12","author":"villarejo","year":"2012","journal-title":"SENSORS"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS.2013.6627790"},{"key":"ref18","first-page":"41","article-title":"Stress detection from speech using spectral slope measurements","author":"simantiraki","year":"2016","journal-title":"Pervasive Computing Paradigms for Mental Health"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557165"},{"key":"ref4","first-page":"28","article-title":"Employers use stress diagnostics to define strategy and guide action","volume":"33","author":"davenport","year":"2017","journal-title":"Benefits Quarterly"},{"key":"ref27","first-page":"2579","article-title":"Visualizing data using t-sne","volume":"9","author":"maaten","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref3","article-title":"A health economic outcome evaluation of an internet-based mobile-supported stress management intervention for employees","volume":"44","author":"ebert","year":"2018","journal-title":"Scandinavian Journal of Work Environment & Health"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2699633"},{"key":"ref5","year":"0","journal-title":"Linkura program"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC.2017.8015367"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3123024.3123184"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1037\/ocp0000069"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2006.08.016"},{"key":"ref1","article-title":"Facial expressions during stress and nonstress conditions: A benchmark video collection","author":"maxion","year":"2018","journal-title":"Tech Rep CMU-CS-18&#x2013;110 Computer Science Department Carnegie Mellon University Pittsburgh Pennsylvania USA 15213"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-015-0885-5"},{"key":"ref22","first-page":"95","article-title":"Unsupervised stress detection algorithm and experiments with real life data","author":"vildjiounaite","year":"2017","journal-title":"Portuguese conference on Artificial Intelligence"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2015.2446195"},{"key":"ref24","author":"ekman","year":"1978","journal-title":"Facial Action Coding System Investigatoris Guide"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2016.2584042"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543262"},{"key":"ref25","first-page":"1","article-title":"Openface: an open source facial behavior analysis toolkit","author":"baltru\u0161aitis","year":"2016","journal-title":"2016 IEEE Winter Conf Applications of Computer Vision (WACV)"}],"event":{"name":"2018 International Conference on Content-Based Multimedia Indexing (CBMI)","location":"La Rochelle","start":{"date-parts":[[2018,9,4]]},"end":{"date-parts":[[2018,9,6]]}},"container-title":["2018 International Conference on Content-Based Multimedia Indexing (CBMI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8491725\/8516270\/08516497.pdf?arnumber=8516497","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T18:12:06Z","timestamp":1598206326000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8516497\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/cbmi.2018.8516497","relation":{},"subject":[],"published":{"date-parts":[[2018,9]]}}}