{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T17:15:49Z","timestamp":1774718149702,"version":"3.50.1"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","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":[{"name":"Italian Ministry of Education, University and Research"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. I"],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1109\/tcsi.2020.3011984","type":"journal-article","created":{"date-parts":[[2020,8,4]],"date-time":"2020-08-04T21:16:26Z","timestamp":1596575786000},"page":"3893-3904","source":"Crossref","is-referenced-by-count":26,"title":["A Partially Binarized Hybrid Neural Network System for Low-Power and Resource Constrained Human Activity Recognition"],"prefix":"10.1109","volume":"67","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4373-1001","authenticated-orcid":false,"given":"Antonio","family":"De Vita","sequence":"first","affiliation":[]},{"given":"Alessandro","family":"Russo","sequence":"additional","affiliation":[]},{"given":"Danilo","family":"Pau","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5588-0621","authenticated-orcid":false,"given":"Luigi Di","family":"Benedetto","sequence":"additional","affiliation":[]},{"given":"Alfredo","family":"Rubino","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1913-4928","authenticated-orcid":false,"given":"Gian Domenico","family":"Licciardo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/BSN.2006.6"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3203217.3204463"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s00542-015-2741-y"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2018.2848647"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2012.13"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/DASIP.2014.7115600"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2018.2857019"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2017.2682138"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/IPIN.2016.7743581"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2900084"},{"key":"ref28","article-title":"Recognition method, corresponding system and computer program product","author":"pau","year":"2019"},{"key":"ref27","year":"2015","journal-title":"X-NUCLEO-IKS01A1 Motion MEMS and environmental sensor expansion board for STM32 Nucleo"},{"key":"ref29","year":"2018","journal-title":"7 Series FPGAs Data Sheet Overview"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.02.010"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2012.110112.00192"},{"key":"ref20","first-page":"3123","article-title":"BinaryConnect: Training deep neural networks with binary weights during propagations","volume":"2","author":"courbariaux","year":"2015","journal-title":"Proc 28th Int Conf Neural Inf Process Syst"},{"key":"ref22","year":"2008","journal-title":"IEEE Standard for Floating-Point Arithmetic"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966166"},{"key":"ref24","article-title":"Binarized neural networks: Training deep neural networks with weights and activations constrained to +1 or ?1","author":"courbariaux","year":"2016","journal-title":"arXiv 1602 02830 [cs]"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8060661"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2018.2881913"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3270764"},{"key":"ref50","author":"richards","year":"1956","journal-title":"Arithmetic Operations in Digital Computers"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2603068"},{"key":"ref53","year":"2015","journal-title":"STM32F401xD STM32F401xE"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2016.2546899"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxw111"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MeMeA.2018.8438750"},{"key":"ref40","year":"2015","journal-title":"Welcome to Lasagne"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2890675"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2941836"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref15","year":"2018","journal-title":"iNEMO inertial module always-on 3D accelerometer and 3D gyroscope"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2920283"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2843373"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/AICAS.2019.8771621"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2761740"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2499621"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2589838"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2016.7590787"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/SKIMA.2016.7916228"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2628938"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2015.2499314"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/BIOCAS.2018.8584774"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2898891"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1986.1164829"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/informatics5020027"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechmachtheory.2015.03.004"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2016.2532909"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2003.1241424"},{"key":"ref41","author":"abadi","year":"2015","journal-title":"TensorFlow Large-Scale Machine Learning on Heterogeneous Systems"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2019.2928476"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ASAP.2018.8445130"}],"container-title":["IEEE Transactions on Circuits and Systems I: Regular Papers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8919\/9240118\/09158508.pdf?arnumber=9158508","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T16:48:56Z","timestamp":1651078136000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9158508\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11]]},"references-count":53,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tcsi.2020.3011984","relation":{},"ISSN":["1549-8328","1558-0806"],"issn-type":[{"value":"1549-8328","type":"print"},{"value":"1558-0806","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11]]}}}