{"id":"https://openalex.org/W2341621957","doi":"https://doi.org/10.1109/pacificvis.2016.7465276","title":"Visual analysis of body movement in serious games for healthcare","display_name":"Visual analysis of body movement in serious games for healthcare","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2341621957","doi":"https://doi.org/10.1109/pacificvis.2016.7465276","mag":"2341621957"},"language":"en","primary_location":{"id":"doi:10.1109/pacificvis.2016.7465276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacificvis.2016.7465276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Pacific Visualization Symposium (PacificVis)","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/A5018310594","display_name":"Oky Purwantiningsih","orcid":null},"institutions":[{"id":"https://openalex.org/I208215962","display_name":"Universit\u00e9 Paul-Val\u00e9ry Montpellier","ror":"https://ror.org/00qhdy563","country_code":"FR","type":"education","lineage":["https://openalex.org/I208215962"]},{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4412460525"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Oky Purwantiningsih","raw_affiliation_strings":["LIRMM - Universit\u00e9 Paul Val\u00e9ry, Montpellier, France"],"affiliations":[{"raw_affiliation_string":"LIRMM - Universit\u00e9 Paul Val\u00e9ry, Montpellier, France","institution_ids":["https://openalex.org/I208215962","https://openalex.org/I4210101743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044017846","display_name":"Arnaud Sallaberry","orcid":"https://orcid.org/0000-0001-7068-176X"},"institutions":[{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4412460525"]},{"id":"https://openalex.org/I208215962","display_name":"Universit\u00e9 Paul-Val\u00e9ry Montpellier","ror":"https://ror.org/00qhdy563","country_code":"FR","type":"education","lineage":["https://openalex.org/I208215962"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Arnaud Sallaberry","raw_affiliation_strings":["LIRMM - Universit\u00e9 Paul Val\u00e9ry, Montpellier, France"],"affiliations":[{"raw_affiliation_string":"LIRMM - Universit\u00e9 Paul Val\u00e9ry, Montpellier, France","institution_ids":["https://openalex.org/I208215962","https://openalex.org/I4210101743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069294205","display_name":"Sebastien Andary","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sebastien Andary","raw_affiliation_strings":["NaturalPad Montpellier, France"],"affiliations":[{"raw_affiliation_string":"NaturalPad Montpellier, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030223751","display_name":"Antoine Seilles","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antoine Seilles","raw_affiliation_strings":["NaturalPad Montpellier, France"],"affiliations":[{"raw_affiliation_string":"NaturalPad Montpellier, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061826905","display_name":"J\u00e9r\u00f4me Az\u00e9","orcid":"https://orcid.org/0000-0002-7372-729X"},"institutions":[{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4412460525"]},{"id":"https://openalex.org/I208215962","display_name":"Universit\u00e9 Paul-Val\u00e9ry Montpellier","ror":"https://ror.org/00qhdy563","country_code":"FR","type":"education","lineage":["https://openalex.org/I208215962"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jerome Aze","raw_affiliation_strings":["LIRMM - Universit\u00e9 Paul Val\u00e9ry, Montpellier, France"],"affiliations":[{"raw_affiliation_string":"LIRMM - Universit\u00e9 Paul Val\u00e9ry, Montpellier, France","institution_ids":["https://openalex.org/I208215962","https://openalex.org/I4210101743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5018310594"],"corresponding_institution_ids":["https://openalex.org/I208215962","https://openalex.org/I4210101743"],"apc_list":null,"apc_paid":null,"fwci":1.0087,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75663928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2015","issue":null,"first_page":"229","last_page":"233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.998199999332428,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9890999794006348,"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":0.8036484718322754},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.7967110872268677},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7313969135284424},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7278932929039001},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5844992995262146},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5416155457496643},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4732159674167633},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4672432243824005},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4655701816082001},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.4560115933418274},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.42297545075416565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41336753964424133},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39848601818084717},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39820829033851624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2232634425163269},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06779107451438904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8036484718322754},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.7967110872268677},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7313969135284424},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7278932929039001},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5844992995262146},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5416155457496643},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4732159674167633},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4672432243824005},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4655701816082001},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.4560115933418274},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.42297545075416565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41336753964424133},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39848601818084717},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39820829033851624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2232634425163269},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06779107451438904},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/pacificvis.2016.7465276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacificvis.2016.7465276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Pacific Visualization Symposium (PacificVis)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:lirmm-01304601v1","is_oa":false,"landing_page_url":"https://hal-lirmm.ccsd.cnrs.fr/lirmm-01304601","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PacificVis: Pacific Visualization Symposium, Apr 2016, Taipei, Taiwan. pp.229-233, ⟨10.1109/PACIFICVIS.2016.7465276⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2552038","https://openalex.org/W97081934","https://openalex.org/W1527768716","https://openalex.org/W1576209423","https://openalex.org/W1577940594","https://openalex.org/W1980935164","https://openalex.org/W1983451087","https://openalex.org/W2002830978","https://openalex.org/W2117385163","https://openalex.org/W2124728735","https://openalex.org/W2161660422","https://openalex.org/W2189332031","https://openalex.org/W2293398899","https://openalex.org/W2588150147","https://openalex.org/W3142210796","https://openalex.org/W4205930639","https://openalex.org/W4210813334","https://openalex.org/W6634440665","https://openalex.org/W6687025048","https://openalex.org/W6733372445"],"related_works":["https://openalex.org/W2170857870","https://openalex.org/W2005418590","https://openalex.org/W2031138210","https://openalex.org/W1969045498","https://openalex.org/W1578960725","https://openalex.org/W2585466406","https://openalex.org/W2244828372","https://openalex.org/W2587922409","https://openalex.org/W2312776034","https://openalex.org/W2137580845"],"abstract_inverted_index":{"The":[0,89],"advancement":[1],"of":[2,11,20,29,34,66,102],"motion":[3],"sensing":[4],"input":[5],"devices":[6],"has":[7],"enabled":[8],"the":[9,26,32,64,100,103],"collection":[10],"multivariate":[12],"time-series":[13],"body":[14,53,107],"movement":[15,39,54,67,72,87],"data.":[16,55],"Analyzing":[17],"such":[18],"type":[19],"data":[21,30],"is":[22,92],"challenging":[23],"due":[24],"to":[25,49,60,84,105],"large":[27],"amount":[28],"and":[31,51,62],"task":[33],"mining":[35],"for":[36,70],"interesting":[37],"temporal":[38],"patterns.":[40,88],"To":[41],"address":[42],"this":[43],"problem,":[44],"we":[45],"propose":[46,76],"an":[47],"interface":[48,104],"visualize":[50],"analyze":[52,106],"This":[56],"visualization":[57,91],"enables":[58],"users":[59],"navigate":[61],"explore":[63],"evolution":[65],"over":[68],"time":[69],"different":[71],"areas.":[73],"We":[74],"also":[75],"a":[77,95],"clustering":[78,83],"method":[79],"based":[80],"on":[81],"hierarchical":[82],"group":[85],"similar":[86],"proposed":[90],"illustrated":[93],"with":[94],"case":[96],"study":[97],"which":[98],"demonstrates":[99],"ability":[101],"movements.":[108]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}