{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:28:50Z","timestamp":1740148130036,"version":"3.37.3"},"reference-count":41,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T00:00:00Z","timestamp":1641772800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Natural Sciences Research Project of Anhui Province","award":["KJ2020A0660","2008085MF202","MMC202003","2020jyxm1584","LY20F030006","LY20F020011","21YJAZH065"],"award-info":[{"award-number":["KJ2020A0660","2008085MF202","MMC202003","2020jyxm1584","LY20F030006","LY20F020011","21YJAZH065"]}]},{"DOI":"10.13039\/501100003995","name":"Natural Science Foundation of Anhui Province","doi-asserted-by":"publisher","award":["KJ2020A0660","2008085MF202","MMC202003","2020jyxm1584","LY20F030006","LY20F020011","21YJAZH065"],"award-info":[{"award-number":["KJ2020A0660","2008085MF202","MMC202003","2020jyxm1584","LY20F030006","LY20F020011","21YJAZH065"]}],"id":[{"id":"10.13039\/501100003995","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002729","name":"Anhui University","doi-asserted-by":"publisher","award":["KJ2020A0660","2008085MF202","MMC202003","2020jyxm1584","LY20F030006","LY20F020011","21YJAZH065"],"award-info":[{"award-number":["KJ2020A0660","2008085MF202","MMC202003","2020jyxm1584","LY20F030006","LY20F020011","21YJAZH065"]}],"id":[{"id":"10.13039\/501100002729","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010814","name":"Anhui Department of Education","doi-asserted-by":"publisher","award":["KJ2020A0660","2008085MF202","MMC202003","2020jyxm1584","LY20F030006","LY20F020011","21YJAZH065"],"award-info":[{"award-number":["KJ2020A0660","2008085MF202","MMC202003","2020jyxm1584","LY20F030006","LY20F020011","21YJAZH065"]}],"id":[{"id":"10.13039\/501100010814","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"publisher","award":["KJ2020A0660","2008085MF202","MMC202003","2020jyxm1584","LY20F030006","LY20F020011","21YJAZH065"],"award-info":[{"award-number":["KJ2020A0660","2008085MF202","MMC202003","2020jyxm1584","LY20F030006","LY20F020011","21YJAZH065"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002338","name":"Ministry of Education of the People's Republic of China","doi-asserted-by":"publisher","award":["KJ2020A0660","2008085MF202","MMC202003","2020jyxm1584","LY20F030006","LY20F020011","21YJAZH065"],"award-info":[{"award-number":["KJ2020A0660","2008085MF202","MMC202003","2020jyxm1584","LY20F030006","LY20F020011","21YJAZH065"]}],"id":[{"id":"10.13039\/501100002338","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2022,1,10]]},"abstract":"<jats:p>The traditional human action recognition (HAR) method is based on RGB video. Recently, with the introduction of Microsoft Kinect and other consumer class depth cameras, HAR based on RGB-D (RGB-Depth) has drawn increasing attention from scholars and industry. Compared with the traditional method, the HAR based on RGB-D has high accuracy and strong robustness. In this paper, using a selective ensemble support vector machine to fuse multimodal features for human action recognition is proposed. The algorithm combines the improved HOG feature-based RGB modal data, the depth motion map-based local binary pattern features (DMM-LBP), and the hybrid joint features (HJF)-based joints modal data. Concomitantly, a frame-based selective ensemble support vector machine classification model (SESVM) is proposed, which effectively integrates the selective ensemble strategy with the selection of SVM base classifiers, thus increasing the differences between the base classifiers. The experimental results have demonstrated that the proposed method is simple, fast, and efficient on public datasets in comparison with other action recognition algorithms.<\/jats:p>","DOI":"10.1155\/2022\/1877464","type":"journal-article","created":{"date-parts":[[2022,1,11]],"date-time":"2022-01-11T00:20:09Z","timestamp":1641860409000},"page":"1-18","source":"Crossref","is-referenced-by-count":7,"title":["Using a Selective Ensemble Support Vector Machine to Fuse Multimodal Features for Human Action Recognition"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8934-9537","authenticated-orcid":true,"given":"Chao","family":"Tang","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China"},{"name":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Anhui University, Hefei 230601, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0960-1497","authenticated-orcid":true,"given":"Anyang","family":"Tong","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China"},{"name":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Anhui University, Hefei 230601, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9820-4743","authenticated-orcid":true,"given":"Aihua","family":"Zheng","sequence":"additional","affiliation":[{"name":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Anhui University, Hefei 230601, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5761-3535","authenticated-orcid":true,"given":"Hua","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, China"},{"name":"College of Information Science and Engineering, Jishou University, Jishou 416000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4308-4385","authenticated-orcid":true,"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2012.263"},{"key":"2","doi-asserted-by":"crossref","DOI":"10.4018\/978-1-5225-5204-8.ch089","volume-title":"Encoding Human Motion for Automated Activity Recognition in Surveillance Applications","author":"A. Ladjailia","year":"2018"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/robot.2008.4543676"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/embc.2014.6944534"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-015-3177-1"},{"issue":"3","key":"6","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1007\/s00371-015-1066-2","article-title":"A comprehensive survey of human action recognition with spatio-temporal interest point (STIP) detector","volume":"32","author":"D. Das Dawn","year":"2016","journal-title":"The Visual Computer"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.11.016"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.11.019"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.03.006"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-3374-6"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.05.019"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2010.5539881"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2021.016864"},{"author":"A. Klser","key":"14","article-title":"A spatio-temporal descriptor based on 3D-gradients"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.04.025"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-012-0594-8"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1109\/wacv.2017.27"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2017.2769085"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.3390\/fi11020042"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-018-1395-8"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2013.365"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2014.108"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2018.2855416"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1109\/cvprw.2012.6239232"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1109\/cvprw.2012.6239233"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2018.2802648"},{"key":"27","article-title":"Symbiotic graph neural networks for 3D skeleton-based human action recognition and motion prediction","author":"M. Li","year":"2021","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2005.177"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1109\/iciset.2016.7856523"},{"key":"30","doi-asserted-by":"publisher","DOI":"10.1109\/34.93808"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1145\/2393347.2396382"},{"author":"T. Ojala","key":"32","article-title":"Performance evaluation of texture measures with classification based on Kullback discrimination of distributions"},{"key":"33","doi-asserted-by":"publisher","DOI":"10.1016\/s0004-3702(02)00190-x"},{"key":"34","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2012.07.001"},{"key":"35","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2015.12.001"},{"first-page":"716","article-title":"Hon4d: histogram of oriented 4d normals for activity recognition from depth sequences","author":"O. Oreifej","key":"36"},{"key":"37","doi-asserted-by":"publisher","DOI":"10.1109\/vspets.2005.1570899"},{"key":"38","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2009.5206744"},{"key":"39","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2008.4587756"},{"key":"40","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2009.5206525"},{"key":"41","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2008.4587727"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2022\/1877464.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2022\/1877464.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2022\/1877464.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,11]],"date-time":"2022-01-11T00:20:21Z","timestamp":1641860421000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/cin\/2022\/1877464\/"}},"subtitle":[],"editor":[{"given":"Paolo","family":"Gastaldo","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2022,1,10]]},"references-count":41,"alternative-id":["1877464","1877464"],"URL":"https:\/\/doi.org\/10.1155\/2022\/1877464","relation":{},"ISSN":["1687-5273","1687-5265"],"issn-type":[{"type":"electronic","value":"1687-5273"},{"type":"print","value":"1687-5265"}],"subject":[],"published":{"date-parts":[[2022,1,10]]}}}