{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T06:57:19Z","timestamp":1781852239197,"version":"3.54.5"},"reference-count":37,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,10]]},"DOI":"10.1109\/ipin.2016.7743581","type":"proceedings-article","created":{"date-parts":[[2016,11,17]],"date-time":"2016-11-17T16:34:04Z","timestamp":1479400444000},"page":"1-7","source":"Crossref","is-referenced-by-count":83,"title":["Binarized-BLSTM-RNN based Human Activity Recognition"],"prefix":"10.1109","author":[{"given":"Marcus","family":"Edel","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Enrico","family":"Koppe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","article-title":"Lecture 6.5&#x2014;rmsprop: divide the gradient by a running average of its recent magnitude","author":"tieleman","year":"2012","journal-title":"COURSERA Neural Networks for Machine Learning"},{"key":"ref32","author":"zaremba","year":"2014","journal-title":"Recurrent Neural Network Regularization"},{"key":"ref31","author":"courbariaux","year":"2014","journal-title":"Low precision arithmetic for deep learning"},{"key":"ref30","author":"rastegari","year":"2016","journal-title":"Xnornet Imagenet classification using binary convolutional neural networks"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2413097.2413148"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/INSS.2010.5573462"},{"key":"ref35","author":"trabelsi","year":"2013","journal-title":"An unsupervised approach for automatic activity recognition based on hidden markov model regression"},{"key":"ref34","first-page":"339","article-title":"Research and development in intelligent systems xxvii: Incorporating applications and innovations in intelligent systems xviii proceedings of ai-2010, the thirtieth sgai international conference on innovative techniques and applications of artificial intelligence","author":"mcglynn","year":"2011","journal-title":"ch An Ensemble Dynamic Time Warping Classifier with Application to Activity Recognition"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IPIN.2015.7346954"},{"key":"ref11","author":"wang","year":"2015","journal-title":"3D human activity recognition with reconfigurable convolutional neural networks"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CarpathianCC.2014.6843636"},{"key":"ref13","first-page":"15","article-title":"Neurocomputing: Foundations of research","author":"mcculloch","year":"1988","journal-title":"A Logical Calculus of the Ideas Imminent in Nervous Activity"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2015.263"},{"key":"ref15","article-title":"Deep, convolutional, and recurrent models for human activity recognition using wearables","author":"hammerla","year":"2016","journal-title":"IJCAI"},{"key":"ref16","first-page":"177","article-title":"Advances in neural information processing systems 1","author":"hanson","year":"1989","journal-title":"ch Comparing Biases for Minimal Network Construction with Back-propagation"},{"key":"ref17","first-page":"598","article-title":"Optimal brain damage","author":"cun","year":"1990","journal-title":"Advances in neural information processing systems"},{"key":"ref18","author":"chen","year":"2015","journal-title":"Compressing neural networks with the hashing trick"},{"key":"ref19","first-page":"1473","article-title":"Compressing deep neural networks using a rank-constrained topology","author":"nakkiran","year":"2015","journal-title":"INTERSPEECH 2015 16th Annual Conference of the International Speech Communication Association"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2005.06.042"},{"key":"ref4","author":"yu","year":"2014","journal-title":"Automatic Speech Recognition?A Deep Learning Approach"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707749"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/nature16961"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"ref5","author":"mnih","year":"2013","journal-title":"Playing atari with deep reinforcement learning"},{"key":"ref8","article-title":"Improving the speed of neural networks on cpus","author":"vanhoucke","year":"2011","journal-title":"Proc Deep Learning and Unsupervised Feature Learning Workshop NIPS 2011"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2499621"},{"key":"ref2","author":"szegedy","year":"2014","journal-title":"Going Deeper with Convolutions"},{"key":"ref9","first-page":"1337","article-title":"Deep learning with COTS HPC systems","author":"coates","year":"2013","journal-title":"Proceedings of the 30th International Conference on Machine Learning ICML 2013"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in Neural Information Processing Systems 25"},{"key":"ref20","article-title":"Bitwise neural networks","volume":"37","author":"kim","year":"2015","journal-title":"Proc of ICML Workshop on Resource-Efficient Machine Learning"},{"key":"ref22","first-page":"8","author":"gysel","year":"2016","journal-title":"Hardware-oriented Approximation of Convolutional Neural Networks"},{"key":"ref21","author":"courbariaux","year":"2016","journal-title":"BinaryNet Training Deep Neural Networks with Weights and Activations Constrained to +1 or ?1"},{"key":"ref24","first-page":"2342","article-title":"An empirical exploration of recurrent network architectures","author":"j\u00f3zefowicz","year":"2015","journal-title":"Proceedings of the 32nd International Conference on Machine Learning ICML 2015"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref26","author":"hochreiter","year":"2001","journal-title":"Gradient Flow in Recurrent Nets The Difficulty of Learning Long-term Dependencies"},{"key":"ref25","article-title":"Deep, convolutional, and recurrent models for human activity recognition using wearables","author":"hammerla","year":"2016","journal-title":"IJCAI"}],"event":{"name":"2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","location":"Alcala de Henares, Spain","start":{"date-parts":[[2016,10,4]]},"end":{"date-parts":[[2016,10,7]]}},"container-title":["2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7738315\/7743575\/07743581.pdf?arnumber=7743581","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2016,12,17]],"date-time":"2016-12-17T03:46:13Z","timestamp":1481946373000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7743581\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/ipin.2016.7743581","relation":{},"subject":[],"published":{"date-parts":[[2016,10]]}}}