{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:03:24Z","timestamp":1740099804392,"version":"3.37.3"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,9]],"date-time":"2020-10-09T00:00:00Z","timestamp":1602201600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,9]],"date-time":"2020-10-09T00:00:00Z","timestamp":1602201600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,9]],"date-time":"2020-10-09T00:00:00Z","timestamp":1602201600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,9]]},"DOI":"10.1109\/icca51439.2020.9264431","type":"proceedings-article","created":{"date-parts":[[2020,11,30]],"date-time":"2020-11-30T21:36:44Z","timestamp":1606772204000},"page":"307-311","source":"Crossref","is-referenced-by-count":1,"title":["Dimension-raising Processing Framework for One-dimensional Time Series and its Application in Affect Detection"],"prefix":"10.1109","author":[{"given":"Ziman","family":"Ye","sequence":"first","affiliation":[]},{"given":"Fang","family":"Deng","sequence":"additional","affiliation":[]},{"given":"Jiachen","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Maobin","family":"Lu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-3418-y"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.06.025"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952552"},{"key":"ref13","article-title":"Emotion recognition by speech signals[C]","author":"kwon","year":"2003","journal-title":"Eighth European Conference on Speech Communication and Technology"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682283"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.28"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/srep04998"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358160"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/5397814"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/s19081863"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4684-2238-2_9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3242969.3242985"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2015.11.007"},{"key":"ref5","article-title":"Deep learning for human affect recognition: insights and new developments","author":"rouast","year":"2019","journal-title":"IEEE Transactions on Affective Computing"},{"year":"2019","key":"ref8","article-title":"Work-related stress, anxiety or depression statistics in Great Britain"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1001\/jama.1992.03480090092034"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2682899"},{"article-title":"Wearable affect and stress recognition: A review","year":"2018","author":"schmidt","key":"ref1"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"7714c7734","DOI":"10.3390\/s130607714","article-title":"Geometric feature-based facial expression recognition in image sequences using multi-class adaboost and support vector machines","volume":"13","author":"ghimire","year":"2013","journal-title":"SENSORS"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemosphere.2018.12.128"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"simonyan","key":"ref21"}],"event":{"name":"2020 IEEE 16th International Conference on Control & Automation (ICCA)","start":{"date-parts":[[2020,10,9]]},"location":"Singapore","end":{"date-parts":[[2020,10,11]]}},"container-title":["2020 IEEE 16th International Conference on Control &amp; Automation (ICCA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9264304\/9264308\/09264431.pdf?arnumber=9264431","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:16:23Z","timestamp":1656375383000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9264431\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,9]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icca51439.2020.9264431","relation":{},"subject":[],"published":{"date-parts":[[2020,10,9]]}}}