{"id":"https://openalex.org/W2123570766","doi":"https://doi.org/10.1109/cscwd.2015.7231022","title":"A feature extraction method for human action recognition using body-worn inertial sensors","display_name":"A feature extraction method for human action recognition using body-worn inertial sensors","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W2123570766","doi":"https://doi.org/10.1109/cscwd.2015.7231022","mag":"2123570766"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd.2015.7231022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2015.7231022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5037705312","display_name":"Ming Guo","orcid":"https://orcid.org/0000-0003-3274-1201"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Guo","raw_affiliation_strings":["School of Control Science and Engineering, Dalian University of Technology, Dalian, China","School of Control Science and Engineering, Dalian University of Technology,China,116024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology,China,116024","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004591926","display_name":"Zhelong Wang","orcid":"https://orcid.org/0000-0003-4959-3372"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhelong Wang","raw_affiliation_strings":["School of Control Science and Engineering, Dalian University of Technology, Dalian, China","School of Control Science and Engineering, Dalian University of Technology,China,116024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology,China,116024","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":1.0813,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87083828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"3001","issue":null,"first_page":"576","last_page":"581"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9987000226974487,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9987000226974487,"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":0.9970999956130981,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7939376831054688},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7908390164375305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7354726791381836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6921229958534241},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6878790259361267},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6760313510894775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6311112642288208},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.49160274863243103},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4901672303676605},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.4828651249408722},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.46359580755233765},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.460541695356369},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.43383365869522095},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.359541118144989},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24970892071723938},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14648371934890747}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7939376831054688},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7908390164375305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7354726791381836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6921229958534241},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6878790259361267},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6760313510894775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6311112642288208},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.49160274863243103},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4901672303676605},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.4828651249408722},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.46359580755233765},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.460541695356369},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.43383365869522095},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.359541118144989},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24970892071723938},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14648371934890747},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd.2015.7231022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2015.7231022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7099999785423279,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W90244107","https://openalex.org/W98188630","https://openalex.org/W1531259569","https://openalex.org/W1562634897","https://openalex.org/W1575762866","https://openalex.org/W1932183881","https://openalex.org/W1964023646","https://openalex.org/W1979613719","https://openalex.org/W2014431515","https://openalex.org/W2033997353","https://openalex.org/W2035015778","https://openalex.org/W2105046342","https://openalex.org/W2110159806","https://openalex.org/W2139578059","https://openalex.org/W2141018395","https://openalex.org/W2156329326","https://openalex.org/W4255262795","https://openalex.org/W6604091132","https://openalex.org/W6632006871"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W2052589448","https://openalex.org/W2765337000","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W4387893611","https://openalex.org/W2067407580","https://openalex.org/W2391447249","https://openalex.org/W2038514069","https://openalex.org/W3104072235"],"abstract_inverted_index":{"This":[0],"paper":[1,107],"proposes":[2],"a":[3,46,127],"new":[4,24,77],"feature":[5],"extraction":[6],"method":[7,25,104],"named":[8],"as":[9],"robust":[10],"linear":[11],"discriminant":[12,32],"analysis":[13,55],"(RLDA)":[14],"in":[15,40,151],"human":[16],"action":[17],"recognition":[18,118],"using":[19],"body-worn":[20],"inertial":[21],"sensors.":[22],"The":[23,97],"is":[26,57,108,134,137],"based":[27],"on":[28],"the":[29,61,65,76,85,103,117,124,152],"classical":[30],"method-linear":[31],"analysis(LDA),":[33],"and":[34,63,110,148],"it":[35],"can":[36,71,80,100,120],"eliminate":[37],"certain":[38],"defect":[39],"LDA.":[41],"In":[42],"this":[43,106,156],"paper,":[44],"firstly,":[45],"popular":[47,142],"technique":[48],"of":[49,67,105,155],"dimension":[50,130,143],"reduction":[51,131,144],"called":[52,88,129],"principal":[53],"component":[54],"(PCA)":[56],"used":[58,138],"to":[59,93,139],"process":[60],"data,":[62],"then":[64],"eigenvalues":[66],"within-class":[68],"scatter":[69],"matrix":[70,79],"be":[72,81],"reestimated,":[73],"from":[74],"which":[75,136],"projection":[78],"obtained.":[82],"We":[83],"use":[84],"public":[86],"database":[87],"Wearable":[89],"Action":[90],"Recognition":[91],"Database":[92],"validate":[94],"our":[95],"method.":[96],"experimental":[98],"results":[99],"illustrate":[101],"that":[102],"feasible":[109],"effective.":[111],"Especially":[112],"for":[113],"classification":[114],"algorithm":[115],"SVM,":[116],"rate":[119],"reach":[121],"99.02%.":[122],"At":[123],"same":[125],"time,":[126],"term":[128],"efficiency":[132],"(DRE)":[133],"defined,":[135],"evaluate":[140],"two":[141],"techniques":[145],"including":[146],"PCA":[147],"random":[149],"projection(RP)":[150],"final":[153],"experiment":[154],"paper.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
