{"id":"https://openalex.org/W2563135618","doi":"https://doi.org/10.1145/3011077.3011133","title":"Marker selection for human activity recognition using combination of conformal geometric algebra and principal component regression","display_name":"Marker selection for human activity recognition using combination of conformal geometric algebra and principal component regression","publication_year":2016,"publication_date":"2016-12-08","ids":{"openalex":"https://openalex.org/W2563135618","doi":"https://doi.org/10.1145/3011077.3011133","mag":"2563135618"},"language":"en","primary_location":{"id":"doi:10.1145/3011077.3011133","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3011077.3011133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh Symposium on Information and Communication Technology","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/A5035049271","display_name":"Nang Hung Van Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nang Hung Van Nguyen","raw_affiliation_strings":["University of Science and Technology, The University of Danang, Danang, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology, The University of Danang, Danang, Vietnam","institution_ids":["https://openalex.org/I3129492623"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101615307","display_name":"Minh Tuan Pham","orcid":"https://orcid.org/0000-0001-7869-9294"},"institutions":[{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Minh Tuan Pham","raw_affiliation_strings":["University of Science and Technology, The University of Danang, Danang, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology, The University of Danang, Danang, Vietnam","institution_ids":["https://openalex.org/I3129492623"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101573735","display_name":"Phuc Hao","orcid":"https://orcid.org/0000-0003-0645-0021"},"institutions":[{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Phuc Hao Do","raw_affiliation_strings":["University of Science and Technology, The University of Danang, Danang, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology, The University of Danang, Danang, Vietnam","institution_ids":["https://openalex.org/I3129492623"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.175,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59926354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"374","last_page":"379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9607999920845032,"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/principal-component-analysis","display_name":"Principal component analysis","score":0.7804020643234253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6991147994995117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6652778387069702},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5741424560546875},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5524762868881226},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5074364542961121},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5064257383346558},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.48058128356933594},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.44111573696136475},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4342949390411377},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.42984163761138916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39077597856521606}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7804020643234253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6991147994995117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6652778387069702},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5741424560546875},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5524762868881226},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5074364542961121},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5064257383346558},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.48058128356933594},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.44111573696136475},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4342949390411377},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.42984163761138916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39077597856521606},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3011077.3011133","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3011077.3011133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh Symposium on Information and Communication Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1595823061","https://openalex.org/W1953802779","https://openalex.org/W2010838375","https://openalex.org/W2017896827","https://openalex.org/W2025818118","https://openalex.org/W2029161185","https://openalex.org/W2056339039","https://openalex.org/W2069021273","https://openalex.org/W2116021467","https://openalex.org/W2116112820","https://openalex.org/W2127587028","https://openalex.org/W2138406903","https://openalex.org/W2153110463","https://openalex.org/W2398870039","https://openalex.org/W2740586183","https://openalex.org/W4248017591","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2794103424","https://openalex.org/W4245435724","https://openalex.org/W1996530509","https://openalex.org/W3028317537","https://openalex.org/W2389515972","https://openalex.org/W2055301889","https://openalex.org/W1505959757","https://openalex.org/W2376554934","https://openalex.org/W2077790809","https://openalex.org/W2906246018"],"abstract_inverted_index":{"Human":[0],"Activity":[1],"Recognition":[2],"is":[3,54,85,98,144],"one":[4],"of":[5,10,30,69,74,108,139,152,172],"the":[6,46,58,71,118,129,137,148,169,176],"most":[7],"important":[8],"areas":[9],"computer":[11,43],"vision":[12],"research.":[13],"Its":[14],"applications":[15],"include":[16],"intelligent":[17,24],"security":[18],"monitoring":[19],"systems,":[20,23,26],"health":[21],"care":[22],"transportation":[25],"and":[27,37,112,150,162],"a":[28,86,94,99],"variety":[29],"systems":[31],"that":[32,168],"involve":[33],"interactions":[34],"between":[35],"people":[36],"electronic":[38],"devices":[39],"such":[40],"as":[41],"human":[42,50,103],"interfaces.":[44],"However,":[45],"biggest":[47],"difficulty":[48],"for":[49,102],"activity":[51,104],"recognition":[52,82,105,158,163],"system":[53],"data":[55,75,121],"collected":[56],"from":[57,117],"camera":[59,77],"can":[60],"be":[61],"deficient":[62],"or":[63],"analytical":[64],"methods":[65],"are":[66],"not":[67],"capable":[68],"performing":[70],"entire":[72],"distribution":[73],"when":[76],"moves.":[78],"Further":[79],"more,":[80],"low":[81],"results":[83,178],"also":[84],"particular":[87],"obstacle.":[88],"In":[89],"this":[90],"study,":[91],"we":[92,122],"present":[93],"new":[95],"method":[96,126,171],"which":[97,154],"marker":[100,124,173],"selection":[101,125,174],"using":[106,133,182],"combination":[107],"conformal":[109],"geometric":[110],"algebra":[111],"principal":[113],"component":[114],"regression.":[115],"First,":[116],"C3D":[119],"motion":[120,138],"used":[123,145],"to":[127,135,146,156],"select":[128],"best":[130],"markers.":[131,184],"Then,":[132],"CGA":[134],"represent":[136],"3D":[140],"objects.":[141],"Next,":[142],"PCR":[143],"reduce":[147],"dimensionality":[149],"size":[151],"data,":[153],"contributes":[155],"high":[157],"accuracy.":[159],"Finally,":[160],"training":[161],"processes.":[164],"The":[165],"experiments":[166],"show":[167],"proposed":[170],"provides":[175],"better":[177],"in":[179],"classification":[180],"than":[181],"all":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
