{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T13:43:52Z","timestamp":1761745432012,"version":"3.37.3"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1109\/ichi48887.2020.9374372","type":"proceedings-article","created":{"date-parts":[[2021,3,12]],"date-time":"2021-03-12T21:10:21Z","timestamp":1615583421000},"page":"1-8","source":"Crossref","is-referenced-by-count":5,"title":["Speech-Based Activity Recognition for Trauma Resuscitation"],"prefix":"10.1109","author":[{"given":"Jalal","family":"Abdulbaqi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Gu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhichao","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenyang","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ivan","family":"Marsic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Randall S.","family":"Burd","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/RFID.2016.7488002"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123365"},{"key":"ref13","first-page":"5998","article-title":"Attention is All you Need","author":"vaswani","year":"2017","journal-title":"Advances in Neural IInformation Processing Systems"},{"journal-title":"Time-Frequency Signal Analysis and Processing A Comprehensive Reference","year":"2015","author":"boashash","key":"ref14"},{"key":"ref15","article-title":"An efficient MFCC extraction method in speech recognition","author":"han","year":"2006","journal-title":"International Symposium on Circuits and Systems"},{"key":"ref16","article-title":"Features for audio and music classification","author":"mckinney","year":"2003","journal-title":"International Symposium\/Conference on Music Information Retrieval"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2339736"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2019.8902732"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5947425"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472621"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3290607.3312983"},{"key":"ref27","first-page":"265","article-title":"Tensorflow: a system for large-scale machine learning","volume":"16","author":"abadi","year":"2016","journal-title":"OSDI"},{"key":"ref3","first-page":"167","article-title":"Activity Recognition Using Inertial Sensing for Healthcare, Wellbeing and Sports Applications: A Survey","author":"avci","year":"2010","journal-title":"ARCS Workshops"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICHI.2019.8904713"},{"key":"ref29","article-title":"SRILM &#x2013; An Extensible Language Modeling Toolkit","author":"stolcke","year":"2002","journal-title":"Conference of the International Speech Communication Association"},{"key":"ref5","article-title":"Concurrent Activity Recognition with Multimodal CNN-LSTM Structure","volume":"abs 1702 0","author":"li","year":"2017","journal-title":"CoRR"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2013.2258772"},{"key":"ref7","article-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","author":"simonyan","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2994551.2994569"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2013.2283506"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2013.6553758"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952132"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"article-title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","year":"2015","author":"ioffe","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2017.8081711"},{"key":"ref26","article-title":"Adam: A Method for Stochastic Optimization","author":"kingma","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref25","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"}],"event":{"name":"2020 IEEE International Conference on Healthcare Informatics (ICHI)","start":{"date-parts":[[2020,11,30]]},"location":"Oldenburg, Germany","end":{"date-parts":[[2020,12,3]]}},"container-title":["2020 IEEE International Conference on Healthcare Informatics (ICHI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9374210\/9374297\/09374372.pdf?arnumber=9374372","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:15:16Z","timestamp":1656375316000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9374372\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/ichi48887.2020.9374372","relation":{},"subject":[],"published":{"date-parts":[[2020,11]]}}}