{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:09:58Z","timestamp":1760710198284,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,8]]},"DOI":"10.1109\/aicas48895.2020.9073913","type":"proceedings-article","created":{"date-parts":[[2020,4,24]],"date-time":"2020-04-24T01:16:57Z","timestamp":1587691017000},"page":"291-295","source":"Crossref","is-referenced-by-count":21,"title":["Low-Power HWAccelerator for AI Edge-Computing in Human Activity Recognition Systems"],"prefix":"10.1109","author":[{"given":"Antonio De","family":"Vita","sequence":"first","affiliation":[]},{"given":"Danilo","family":"Pau","sequence":"additional","affiliation":[]},{"given":"Claudio","family":"Parrella","sequence":"additional","affiliation":[]},{"given":"Luigi Di","family":"Benedetto","sequence":"additional","affiliation":[]},{"given":"Alfedo","family":"Rubino","sequence":"additional","affiliation":[]},{"given":"Gian Domenico","family":"Licciardo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/AICAS.2019.8771621"},{"journal-title":"iNEMO inertial module always-on 3D accelerometer and 3D gyroscope LSM6DSOX DS12814-Rev","year":"2019","key":"ref11"},{"article-title":"Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or-1 arXiv preprint","year":"2016","author":"courbariaux","key":"ref12"},{"key":"ref13","first-page":"3123","article-title":"BinaryConnect: training deep neural networks with binary weights during propagations","author":"courbariaux","year":"2015","journal-title":"Proceedings of the 28th International Conference on Neural Information Processing Systems-Volume 2 (NIPS&#x2019;15)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ASAP.2018.8445130"},{"key":"ref15","article-title":"Embeddable Circuit for orientation Independent Processing in Ultra Low-Power Tri-axial Inertial Sensors","author":"de vita","year":"0","journal-title":"IEEE Transactions on Circuits and Systems II Express Briefs"},{"journal-title":"7 Series FPGAs Data Sheet Overview XC7A35T-1CPG236C datasheet","year":"2018","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/BSN.2006.6"},{"article-title":"Recognition method, corresponding system and computer program product","year":"0","author":"pau","key":"ref18"},{"key":"ref19","first-page":"2295","article-title":"Efficient Processing of Deep Neural Networks: A Tutorial and Survey in Proceedings of the IEEE","volume":"105","author":"sze","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2628938"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2016.7590787"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxw111"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2015.2499314"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/BSN.2018.8329677"},{"key":"ref7","article-title":"Deep learning for sensorbased activity recognition: A Survey","author":"wang","year":"2018","journal-title":"Pattern Recognition Letters"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/SKIMA.2016.7916228"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2499621"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE.2018.8326103"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2603068"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2014.2366831"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.vlsi.2015.12.010"},{"key":"ref24","first-page":"274","article-title":"SensorNet: A Scalable and Low-Power Deep Convolutional Neural Network for Multimodal Data Classification in IEEE Transactions on Circuits and Systems I: Regular Papers","volume":"66","author":"jafari","year":"2019"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2016.2546899"}],"event":{"name":"2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","start":{"date-parts":[[2020,8,31]]},"location":"Genova, Italy","end":{"date-parts":[[2020,9,2]]}},"container-title":["2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9066468\/9072687\/09073913.pdf?arnumber=9073913","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:46:51Z","timestamp":1656344811000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9073913\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/aicas48895.2020.9073913","relation":{},"subject":[],"published":{"date-parts":[[2020,8]]}}}