{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T10:21:31Z","timestamp":1780395691100,"version":"3.54.1"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2018,7,1]],"date-time":"2018-07-01T00:00:00Z","timestamp":1530403200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"NSF","award":["IIS-1150157"],"award-info":[{"award-number":["IIS-1150157"]}]},{"DOI":"10.13039\/100009157","name":"NIDILRR","doi-asserted-by":"crossref","award":["90RE5016-01-00"],"award-info":[{"award-number":["90RE5016-01-00"]}],"id":[{"id":"10.13039\/100009157","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Google Faculty Research Award"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/lra.2018.2801475","type":"journal-article","created":{"date-parts":[[2018,2,2]],"date-time":"2018-02-02T19:19:05Z","timestamp":1517599145000},"page":"1544-1551","source":"Crossref","is-referenced-by-count":967,"title":["A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-Based Variational Autoencoder"],"prefix":"10.1109","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1287-9433","authenticated-orcid":false,"given":"Daehyung","family":"Park","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2448-2310","authenticated-orcid":false,"given":"Yuuna","family":"Hoshi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4720-1136","authenticated-orcid":false,"given":"Charles C.","family":"Kemp","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1177\/0278364912471865"},{"key":"ref32","article-title":"Keras","author":"chollet","year":"2015"},{"key":"ref31","article-title":"Deep variational Bayes filters: Unsupervised learning of state space models from raw data","author":"karl","year":"2017","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref30","first-page":"2059","article-title":"Denoising criterion for variational auto-encoding framework","author":"im","year":"0","journal-title":"Proc AAAI"},{"key":"ref36","article-title":"Variational autoencoder based anomaly detection using reconstruction probability","author":"an","year":"2015"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/HSI.2008.4581481"},{"key":"ref34","first-page":"5406","article-title":"Multimodal execution monitoring for robot-assisted feeding","author":"park","year":"0","journal-title":"Proc IEEE\/RSJ Int Conf Intell Robots Syst"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/COASE.2010.5584452"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2014.6943078"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-013-0014-5"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972818.1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139892"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2012.6225358"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2017.2715180"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2014.03.003"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref28","article-title":"Variational inference for on-line anomaly detection in high-dimensional time series","author":"s\u00f6lch","year":"2016","journal-title":"Proc ICML 2016 Anomaly Detection Workshop"},{"key":"ref4","article-title":"Multimodal anomaly detection for assistive robots","author":"park","year":"0"},{"key":"ref27","article-title":"Learning stochastic recurrent networks","author":"bayer","year":"2014","journal-title":"Proc NIPS 2014 Workshop Advances Variational Inf"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487160"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K16-1002"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2011.6095100"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2014.2378150"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2012.2229950"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2015.XI.044"},{"key":"ref1","article-title":"Towards assistive feeding with a general-purpose mobile manipulator","author":"park","year":"0","journal-title":"Proc IEEE Int Conf Robot Autom —Workshop Human-Robot Interfaces Enhanced Phys Interactions"},{"key":"ref20","article-title":"Recurrent neural radio anomaly detection","author":"o'shea","year":"2016","journal-title":"arXiv 1611 00301"},{"key":"ref22","first-page":"89","article-title":"Long short term memory networks for anomaly detection in time series","author":"malhotra","year":"0","journal-title":"Eur Symp on Artif Neural Netw Computat Intell Mach Learning"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2015.7344872"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref23","article-title":"LSTM-based encoder-decoder for multi-sensor anomaly detection","author":"malhotra","year":"0","journal-title":"Proc Anomaly Detection Workshop 33rd Int Conf Mach Learn"},{"key":"ref26","article-title":"Auto-encoding variational Bayes","author":"kingma","year":"2014","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966273"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/8302435\/08279425.pdf?arnumber=8279425","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:17:59Z","timestamp":1642004279000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8279425\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":36,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/lra.2018.2801475","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7]]}}}