{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T18:33:41Z","timestamp":1766428421678,"version":"3.37.3"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,3,22]],"date-time":"2021-03-22T00:00:00Z","timestamp":1616371200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,3,22]],"date-time":"2021-03-22T00:00:00Z","timestamp":1616371200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,3,22]],"date-time":"2021-03-22T00:00:00Z","timestamp":1616371200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft (DFG)","doi-asserted-by":"publisher","award":["Fi799\/10-2,HO2463\/14-2"],"award-info":[{"award-number":["Fi799\/10-2,HO2463\/14-2"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,3,22]]},"DOI":"10.1109\/percomworkshops51409.2021.9431062","type":"proceedings-article","created":{"date-parts":[[2021,5,24]],"date-time":"2021-05-24T20:26:56Z","timestamp":1621888016000},"page":"453-458","source":"Crossref","is-referenced-by-count":10,"title":["Benchmarking Annotation Procedures for Multi-channel Time Series HAR Dataset"],"prefix":"10.1109","author":[{"given":"Hulya","family":"Avsar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erik","family":"Altermann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher","family":"Reining","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fernando Moya","family":"Rueda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gernot A.","family":"Fink","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"ten Hompel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Deep face recognition","year":"2015","author":"parkhi","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-57058-3_21"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/info10080245"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/INSS.2010.5573462"},{"key":"ref14","article-title":"Human Activity Recognition in der Kommissionierung - Charakterisierung des Kommission-ierprozesses als Ausgangsbasis für die Methodenentwicklung","author":"feldhorst","year":"2016","journal-title":"Logistics Journal"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2542021"},{"key":"ref16","article-title":"Convolutional Neural Networks for Human Activity Recognition Using Body-Worn Sensors","author":"rueda","year":"2018","journal-title":"MDPI Journal Informatics"},{"key":"ref17","article-title":"Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition","author":"yang","year":"0","journal-title":"IJCAI'15"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.4108\/icst.mobicase.2014.257786"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-26561-2_6"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/s20154083"},{"key":"ref3","first-page":"523","author":"rueda","year":"2018","journal-title":"Learning attribute representation for human activity recognition"},{"key":"ref6","doi-asserted-by":"crossref","DOI":"10.3390\/s16010115","article-title":"Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition","author":"ord\u00f3\u00f1ez","year":"2016","journal-title":"MDPI Sensors"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.140"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3134230.3134231"},{"key":"ref7","article-title":"Deep, Convolutional, and Recurrent Models for Human Activity Recognition Using Wearables","author":"hammerla","year":"2016","journal-title":"IJCAI'16"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/PerComWorkshops48775.2020.9156170"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/s19143035"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/s18092778"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3123021.3123046"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.11613\/BM.2012.031"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.15439\/2018F188"}],"event":{"name":"2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","start":{"date-parts":[[2021,3,22]]},"location":"Kassel, Germany","end":{"date-parts":[[2021,3,26]]}},"container-title":["2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9430855\/9430860\/09431062.pdf?arnumber=9431062","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:41:41Z","timestamp":1652197301000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9431062\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,22]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/percomworkshops51409.2021.9431062","relation":{},"subject":[],"published":{"date-parts":[[2021,3,22]]}}}