{"id":"https://openalex.org/W2086509056","doi":"https://doi.org/10.1109/wacv.2013.6474999","title":"Berkeley MHAD: A comprehensive Multimodal Human Action Database","display_name":"Berkeley MHAD: A comprehensive Multimodal Human Action Database","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2086509056","doi":"https://doi.org/10.1109/wacv.2013.6474999","mag":"2086509056"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2013.6474999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2013.6474999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091382678","display_name":"Ferda Ofli","orcid":"https://orcid.org/0000-0003-3918-3230"},"institutions":[{"id":"https://openalex.org/I88101031","display_name":"Immersion (United States)","ror":"https://ror.org/02qgx4h83","country_code":"US","type":"company","lineage":["https://openalex.org/I88101031"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ferda Ofli","raw_affiliation_strings":["Tele-immersion Laboratory, University of California, Berkeley, USA","Tele-immersion Lab., Univ. of California, Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Tele-immersion Laboratory, University of California, Berkeley, USA","institution_ids":["https://openalex.org/I88101031","https://openalex.org/I95457486"]},{"raw_affiliation_string":"Tele-immersion Lab., Univ. of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004750361","display_name":"Rizwan Chaudhry","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rizwan Chaudhry","raw_affiliation_strings":["Center for Imaging Sciences, Johns Hopkins University, USA","Center for Imaging Science, Johns Hopkins University Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Center for Imaging Sciences, Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Center for Imaging Science, Johns Hopkins University Baltimore, MD, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039720121","display_name":"Gregorij Kurillo","orcid":"https://orcid.org/0000-0003-1211-6919"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]},{"id":"https://openalex.org/I88101031","display_name":"Immersion (United States)","ror":"https://ror.org/02qgx4h83","country_code":"US","type":"company","lineage":["https://openalex.org/I88101031"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregorij Kurillo","raw_affiliation_strings":["Tele-immersion Laboratory, University of California, Berkeley, USA","Tele-immersion Lab., Univ. of California, Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Tele-immersion Laboratory, University of California, Berkeley, USA","institution_ids":["https://openalex.org/I88101031","https://openalex.org/I95457486"]},{"raw_affiliation_string":"Tele-immersion Lab., Univ. of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011256828","display_name":"Ren\u00e8 Vidal","orcid":"https://orcid.org/0000-0003-1838-0761"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rene Vidal","raw_affiliation_strings":["Center for Imaging Sciences, Johns Hopkins University, USA","Center for Imaging Science, Johns Hopkins University Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Center for Imaging Sciences, Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Center for Imaging Science, Johns Hopkins University Baltimore, MD, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055278920","display_name":"R\u016f\u017eena Bajcsy","orcid":"https://orcid.org/0000-0001-6492-8498"},"institutions":[{"id":"https://openalex.org/I88101031","display_name":"Immersion (United States)","ror":"https://ror.org/02qgx4h83","country_code":"US","type":"company","lineage":["https://openalex.org/I88101031"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruzena Bajcsy","raw_affiliation_strings":["Tele-immersion Laboratory, University of California, Berkeley, USA","Tele-immersion Lab., Univ. of California, Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Tele-immersion Laboratory, University of California, Berkeley, USA","institution_ids":["https://openalex.org/I88101031","https://openalex.org/I95457486"]},{"raw_affiliation_string":"Tele-immersion Lab., Univ. of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091382678"],"corresponding_institution_ids":["https://openalex.org/I88101031","https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":28.1967,"has_fulltext":false,"cited_by_count":483,"citation_normalized_percentile":{"value":0.99723432,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8096483945846558},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7011072635650635},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.6793259978294373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.678146243095398},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6633095145225525},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6524317264556885},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.582762598991394},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5598524808883667},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5290966033935547},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5200499892234802},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4897024929523468},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.48693907260894775},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4772339165210724},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.47200441360473633},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44686242938041687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43733203411102295},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3425189256668091},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08326172828674316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8096483945846558},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7011072635650635},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6793259978294373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.678146243095398},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6633095145225525},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6524317264556885},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.582762598991394},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5598524808883667},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5290966033935547},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5200499892234802},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4897024929523468},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.48693907260894775},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4772339165210724},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.47200441360473633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44686242938041687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43733203411102295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3425189256668091},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08326172828674316},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wacv.2013.6474999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2013.6474999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.432.5113","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.432.5113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eecs.berkeley.edu/~fofli/papers/ofli_wacv13.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W105287674","https://openalex.org/W1498368596","https://openalex.org/W1590105591","https://openalex.org/W1696716473","https://openalex.org/W1983705368","https://openalex.org/W1989665047","https://openalex.org/W1993229407","https://openalex.org/W2010399676","https://openalex.org/W2031342017","https://openalex.org/W2034328688","https://openalex.org/W2078046413","https://openalex.org/W2090110089","https://openalex.org/W2098339052","https://openalex.org/W2099333815","https://openalex.org/W2100916003","https://openalex.org/W2106233887","https://openalex.org/W2106336084","https://openalex.org/W2119350939","https://openalex.org/W2119799051","https://openalex.org/W2124372976","https://openalex.org/W2126579184","https://openalex.org/W2139057890","https://openalex.org/W2142194269","https://openalex.org/W2143267104","https://openalex.org/W2144380653","https://openalex.org/W2160933580","https://openalex.org/W2163292664","https://openalex.org/W2166070055","https://openalex.org/W2290727245","https://openalex.org/W2405454077","https://openalex.org/W2538008885","https://openalex.org/W2584015752","https://openalex.org/W2618753359","https://openalex.org/W2901391803","https://openalex.org/W4249279051","https://openalex.org/W6630009274","https://openalex.org/W6637538395"],"related_works":["https://openalex.org/W2883256816","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W1964130324","https://openalex.org/W2706752825","https://openalex.org/W4313244723","https://openalex.org/W1975325338","https://openalex.org/W3181401746","https://openalex.org/W2982423860"],"abstract_inverted_index":{"Over":[0],"the":[1,59,130,140,148],"years,":[2],"a":[3,43],"large":[4],"number":[5],"of":[6,67,121,142,145,159],"methods":[7],"have":[8,29],"been":[9,30],"proposed":[10],"to":[11,38,42,100,135],"analyze":[12],"human":[13,160],"pose":[14],"and":[15,21,46,70,89,102],"motion":[16,77,161],"information":[17],"from":[18,23,74,83],"images,":[19],"videos,":[20],"recently":[22],"depth":[24,86],"data.":[25],"Most":[26],"methods,":[27],"however,":[28],"evaluated":[31],"on":[32],"datasets":[33],"that":[34,156],"were":[35],"too":[36],"specific":[37],"each":[39,136],"application,":[40],"limited":[41],"particular":[44],"modality,":[45],"more":[47],"importantly,":[48],"captured":[49],"under":[50,109],"unknown":[51],"conditions.":[52],"To":[53,117],"address":[54],"these":[55],"issues,":[56],"we":[57,126],"introduce":[58],"Berkeley":[60],"Multimodal":[61],"Human":[62],"Action":[63],"Database":[64],"(MHAD)":[65],"consisting":[66],"temporally":[68],"synchronized":[69],"geometrically":[71],"calibrated":[72],"data":[73],"an":[75,97],"optical":[76],"capture":[78,111],"system,":[79],"multi-baseline":[80],"stereo":[81],"cameras":[82],"multiple":[84,107],"views,":[85],"sensors,":[87],"accelerometers":[88],"microphones.":[90],"This":[91],"controlled":[92],"multimodal":[93,157],"dataset":[94],"provides":[95],"researchers":[96],"inclusive":[98],"testbed":[99],"develop":[101],"benchmark":[103],"new":[104],"algorithms":[105],"across":[106],"modalities":[108,146],"known":[110],"conditions":[112],"in":[113],"various":[114,143],"research":[115],"domains.":[116],"demonstrate":[118],"possible":[119],"use":[120],"MHAD":[122],"for":[123],"action":[124,164],"recognition,":[125],"compare":[127],"results":[128,141,154],"using":[129,147],"popular":[131],"Bag-of-Words":[132],"algorithm":[133],"adapted":[134],"modality":[137],"independently":[138],"with":[139],"combinations":[144],"Multiple":[149],"Kernel":[150],"Learning.":[151],"Our":[152],"comparative":[153],"show":[155],"analysis":[158],"yields":[162],"better":[163],"recognition":[165],"rates":[166],"than":[167],"unimodal":[168],"analysis.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":35},{"year":2023,"cited_by_count":42},{"year":2022,"cited_by_count":40},{"year":2021,"cited_by_count":55},{"year":2020,"cited_by_count":44},{"year":2019,"cited_by_count":44},{"year":2018,"cited_by_count":49},{"year":2017,"cited_by_count":47},{"year":2016,"cited_by_count":41},{"year":2015,"cited_by_count":23},{"year":2014,"cited_by_count":27},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
