{"id":"https://openalex.org/W2016923040","doi":"https://doi.org/10.1109/fuzz-ieee.2013.6622349","title":"Singular value analysis through divided time-series data and its application to walking difficulty evaluation","display_name":"Singular value analysis through divided time-series data and its application to walking difficulty evaluation","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2016923040","doi":"https://doi.org/10.1109/fuzz-ieee.2013.6622349","mag":"2016923040"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2013.6622349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2013.6622349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5076935808","display_name":"Yinlai Jiang","orcid":"https://orcid.org/0000-0002-0825-6444"},"institutions":[{"id":"https://openalex.org/I35568498","display_name":"Kochi University of Technology","ror":"https://ror.org/00rghrr56","country_code":"JP","type":"education","lineage":["https://openalex.org/I35568498"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yinlai Jiang","raw_affiliation_strings":["School of Systems Engineering, Kochi University of Technology, Kochi, Japan","School of Systems Engineering; Kochi University of Technology; Kochi Japan"],"affiliations":[{"raw_affiliation_string":"School of Systems Engineering, Kochi University of Technology, Kochi, Japan","institution_ids":["https://openalex.org/I35568498"]},{"raw_affiliation_string":"School of Systems Engineering; Kochi University of Technology; Kochi Japan","institution_ids":["https://openalex.org/I35568498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037058917","display_name":"Isao Hayashi","orcid":"https://orcid.org/0009-0001-9689-3274"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Isao Hayashi","raw_affiliation_strings":["Faculty of Informatics, Kansai University, Takatsuki, Osaka, Japan","Fac. of Inf., Kansai Univ., Suita, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, Kansai University, Takatsuki, Osaka, Japan","institution_ids":["https://openalex.org/I56624758"]},{"raw_affiliation_string":"Fac. of Inf., Kansai Univ., Suita, Japan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085134821","display_name":"Shuoyu Wang","orcid":"https://orcid.org/0000-0002-2111-6251"},"institutions":[{"id":"https://openalex.org/I35568498","display_name":"Kochi University of Technology","ror":"https://ror.org/00rghrr56","country_code":"JP","type":"education","lineage":["https://openalex.org/I35568498"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuoyu Wang","raw_affiliation_strings":["School of Systems Engineering, Kochi University of Technology, Kochi, Japan","School of Systems Engineering; Kochi University of Technology; Kochi Japan"],"affiliations":[{"raw_affiliation_string":"School of Systems Engineering, Kochi University of Technology, Kochi, Japan","institution_ids":["https://openalex.org/I35568498"]},{"raw_affiliation_string":"School of Systems Engineering; Kochi University of Technology; Kochi Japan","institution_ids":["https://openalex.org/I35568498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076935808"],"corresponding_institution_ids":["https://openalex.org/I35568498"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21506962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9757999777793884,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9749000072479248,"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/singular-value","display_name":"Singular value","score":0.77911376953125},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.6313563585281372},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5839412808418274},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5315145254135132},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.5255821347236633},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48671963810920715},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4677484333515167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4615831971168518},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3246743679046631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30194365978240967},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17435234785079956},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14530262351036072},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08273139595985413}],"concepts":[{"id":"https://openalex.org/C109282560","wikidata":"https://www.wikidata.org/wiki/Q4166054","display_name":"Singular value","level":3,"score":0.77911376953125},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.6313563585281372},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5839412808418274},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5315145254135132},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.5255821347236633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48671963810920715},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4677484333515167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4615831971168518},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3246743679046631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30194365978240967},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17435234785079956},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14530262351036072},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08273139595985413},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2013.6622349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2013.6622349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":24,"referenced_works":["https://openalex.org/W43648929","https://openalex.org/W1508066189","https://openalex.org/W1965018984","https://openalex.org/W1983705368","https://openalex.org/W1996410461","https://openalex.org/W2029882146","https://openalex.org/W2034054760","https://openalex.org/W2074743114","https://openalex.org/W2096886535","https://openalex.org/W2100185540","https://openalex.org/W2108286615","https://openalex.org/W2108533919","https://openalex.org/W2130379328","https://openalex.org/W2155308994","https://openalex.org/W2162908184","https://openalex.org/W2168392347","https://openalex.org/W2170798597","https://openalex.org/W2325052133","https://openalex.org/W2401397983","https://openalex.org/W2403000642","https://openalex.org/W2404343873","https://openalex.org/W4229898513","https://openalex.org/W6630364135","https://openalex.org/W6668882375"],"related_works":["https://openalex.org/W1989791859","https://openalex.org/W2390829436","https://openalex.org/W1971289376","https://openalex.org/W2565094479","https://openalex.org/W602859758","https://openalex.org/W2379101322","https://openalex.org/W2006439817","https://openalex.org/W2073441548","https://openalex.org/W1992553864","https://openalex.org/W2776207444"],"abstract_inverted_index":{"Motion":[0],"time-series":[1,42,51,60,144],"data":[2,43,61,145,161,185],"observed":[3],"with":[4,146],"various":[5],"sensing":[6],"systems":[7],"are":[8,54,70],"usually":[9],"analyzed":[10],"to":[11,99,168,174,192,196,210],"extract":[12],"embodied":[13],"knowledge":[14],"which":[15,86,106,217],"is":[16,45],"remembered":[17],"by":[18,24,85,114],"the":[19,25,28,31,57,63,68,73,76,79,87,93,116,123,126,129,132,141,147,153,159,163,169,172,175,183,187,202],"human":[20],"body":[21],"and":[22,62,78,128],"reflected":[23],"dexterity":[26],"in":[27,105,206],"motion":[29,77],"of":[30,59,67,75,109,122,125,131,162,171,182,186],"body.":[32],"A":[33],"method":[34],"based":[35],"on":[36],"singular":[37,65,80,90,155,180,204],"value":[38],"analysis":[39],"through":[40],"divided":[41],"(SVA-DTS)":[44],"proposed":[46],"for":[47,224],"extracting":[48],"features":[49],"from":[50,56,140,158],"data.":[52],"Matrices":[53],"composed":[55],"subsets":[58],"left":[64,89],"vectors":[66,91],"matrices":[69],"extracted":[71],"as":[72,82,221],"patterns":[74],"values":[81,137,156,181,205],"a":[83,100,207,222],"scalar,":[84],"corresponding":[88],"affects":[92],"matrices.":[94],"The":[95,120,149,178],"SVA-DTS":[96],"was":[97],"applied":[98],"walking":[101,110,198,215,226],"difficulty":[102,111,216],"evaluation":[103],"experiment":[104],"three":[107],"levels":[108],"were":[112,134,138,190],"simulated":[113],"restricting":[115],"right":[117,164,176,188],"knee":[118],"joint.":[119],"accelerations":[121],"middles":[124],"shanks":[127],"back":[130],"waist":[133],"measured.":[135],"Singular":[136],"calculated":[139],"normalized":[142],"acceleration":[143,160,184],"SVA-DTS.":[148],"results":[150],"showed":[151],"that":[152],"first":[154,179,203],"inferred":[157],"shank":[165,189],"significantly":[166],"related":[167],"increase":[170],"restriction":[173],"knee.":[177],"suggested":[191],"be":[193,219],"reliable":[194],"criteria":[195],"evaluate":[197],"difficulty.":[199,227],"We":[200],"visualize":[201],"3D":[208],"space":[209],"provide":[211],"intuitive":[212],"information":[213],"about":[214],"can":[218],"used":[220],"tool":[223],"evaluating":[225]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
