{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T16:10:19Z","timestamp":1761581419063,"version":"3.37.3"},"reference-count":9,"publisher":"Wiley","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-0915574"],"award-info":[{"award-number":["CNS-0915574"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["CNS-0915574"],"award-info":[{"award-number":["CNS-0915574"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Government Joint Funding (2nd) for Super Computer Application Research","award":["CNS-0915574"],"award-info":[{"award-number":["CNS-0915574"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mobile Information Systems"],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>People in public areas often appear in groups. People with homogeneous coarse-grained activities may be further divided into subgroups depending on more fine-grained behavioral differences. Automatically identifying these subgroups can benefit a variety of applications for group members. In this work, we focus on identifying such subgroups in a homogeneous activity group (i.e., a group of people who perform the same coarse-grained activity at the same time). We present a generic framework using sensors built in commodity mobile devices. Specifically, we propose a two-stage process, sensing modality selection given a coarse-grained activity, followed by multimodal clustering to identify subgroups. We develop one early fusion and one late fusion multimodal clustering algorithm. We evaluate our approaches using multiple datasets; two of them are with the same activity while the other has a different activity. The evaluation results show that the proposed multimodal-based approaches outperform existing work that uses only one single sensing modality and they also work in scenarios when manually selecting one sensing modality fails.<\/jats:p>","DOI":"10.1155\/2016\/3545327","type":"journal-article","created":{"date-parts":[[2016,4,26]],"date-time":"2016-04-26T17:01:55Z","timestamp":1461690115000},"page":"1-14","source":"Crossref","is-referenced-by-count":6,"title":["Identification of Partitions in a Homogeneous Activity Group Using Mobile Devices"],"prefix":"10.1155","volume":"2016","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8114-1993","authenticated-orcid":true,"given":"Na","family":"Yu","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO 80401, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7862-9306","authenticated-orcid":true,"given":"Yongjian","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO 80401, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5856-383X","authenticated-orcid":true,"given":"Qi","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO 80401, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiping","family":"Zhu","sequence":"additional","affiliation":[{"name":"International School of Software, Wuhan University, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hejun","family":"Wu","sequence":"additional","affiliation":[{"name":"Guangdong Province Key Laboratory of Big Data Analysis and Processing, Sun Yat-Sen University, Guangzhou 510006, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"2","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-012-0415-x"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.3934\/nhm.2011.6.521"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40238-8_17"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2012.110112.00192"},{"year":"2008","key":"14"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.3390\/e13071229"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2011.2125550"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-04114-8_13"},{"year":"2006","key":"18"}],"container-title":["Mobile Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/misy\/2016\/3545327.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/misy\/2016\/3545327.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/misy\/2016\/3545327.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2016,7,26]],"date-time":"2016-07-26T09:25:06Z","timestamp":1469525106000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/misy\/2016\/3545327\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":9,"alternative-id":["3545327","3545327"],"URL":"https:\/\/doi.org\/10.1155\/2016\/3545327","relation":{},"ISSN":["1574-017X","1875-905X"],"issn-type":[{"type":"print","value":"1574-017X"},{"type":"electronic","value":"1875-905X"}],"subject":[],"published":{"date-parts":[[2016]]}}}