{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T09:42:36Z","timestamp":1781516556648,"version":"3.54.1"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"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":[[2019,2]]},"DOI":"10.1109\/icit.2019.8755038","type":"proceedings-article","created":{"date-parts":[[2019,7,4]],"date-time":"2019-07-04T22:14:55Z","timestamp":1562278495000},"page":"853-858","source":"Crossref","is-referenced-by-count":71,"title":["An Efficient Hand Gesture Recognition System Based on Deep CNN"],"prefix":"10.1109","author":[{"given":"Hung-Yuan","family":"Chung","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yao-Liang","family":"Chung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei-Feng","family":"Tsai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICIS.2016.7550778"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICSLP.1996.607119"},{"key":"ref12","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc The 25th International Conference on Neural Information Processing Systems"},{"key":"ref13","article-title":"ImageNet Large Scale Visual Recognition Challenge (ILSVRC)","year":"2010"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SNPD.2016.7515915"},{"key":"ref15","article-title":"An improved adaptive background mixture model for realtime tracking with shadow detection","author":"kaewtrakulpong","year":"2001","journal-title":"Proc 2nd Eur Workshop Advanced Video Based Surveillance Systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.11.005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345390"},{"key":"ref18","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proceedings of International Conference on Learning Representations"},{"key":"ref19","article-title":"Face detection method based on multi-feature fusion in YCbCr color space","author":"zhu","year":"2012","journal-title":"Proc The 5th International Congress on Image and Signal Processing"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref3","article-title":"Exploiting silhouette descriptors and synthetic data for hand gesture recognition","author":"memo","year":"2015","journal-title":"Proc Smart Tools and Apps for Graphics"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8655(82)90016-2"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/0734-189X(85)90016-7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICARCV.2014.7064401"},{"key":"ref7","article-title":"Hand gesture recognition using convexity hull defects to control an industrial robot","author":"ganapathyraju","year":"2013","journal-title":"The 3rd International Conference on Control, Instrumentation, and Automation"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2011.6130391"},{"key":"ref1","article-title":"Microsoft: Kinect for Windows","year":"0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISCV.1995.477012"},{"key":"ref20","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref22","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proceedings of International Conference on Learning Representations"},{"key":"ref21","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","author":"hinton","year":"2012"}],"event":{"name":"2019 IEEE International Conference on Industrial Technology (ICIT)","location":"Melbourne, Australia","start":{"date-parts":[[2019,2,13]]},"end":{"date-parts":[[2019,2,15]]}},"container-title":["2019 IEEE International Conference on Industrial Technology (ICIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8746085\/8754907\/08755038.pdf?arnumber=8755038","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:13:02Z","timestamp":1657854782000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8755038\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icit.2019.8755038","relation":{},"subject":[],"published":{"date-parts":[[2019,2]]}}}