{"id":"https://openalex.org/W4389250027","doi":"https://doi.org/10.1109/bsn58485.2023.10331324","title":"Geometric Gait Clustering for Unobtrusive Analysis","display_name":"Geometric Gait Clustering for Unobtrusive Analysis","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4389250027","doi":"https://doi.org/10.1109/bsn58485.2023.10331324"},"language":"en","primary_location":{"id":"doi:10.1109/bsn58485.2023.10331324","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bsn58485.2023.10331324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Body Sensor Networks (BSN)","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/A5093400170","display_name":"Grant Ellison","orcid":null},"institutions":[{"id":"https://openalex.org/I35566140","display_name":"Loyola Marymount University","ror":"https://ror.org/00xhj8c72","country_code":"US","type":"education","lineage":["https://openalex.org/I35566140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Grant Ellison","raw_affiliation_strings":["Loyola Marymount University,Dept. of Computer Science,Los Angeles,United States","Dept. of Computer Science, Loyola Marymount University, Los Angeles, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Loyola Marymount University,Dept. of Computer Science,Los Angeles,United States","institution_ids":["https://openalex.org/I35566140"]},{"raw_affiliation_string":"Dept. of Computer Science, Loyola Marymount University, Los Angeles, United States","institution_ids":["https://openalex.org/I35566140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102586667","display_name":"Milla Penelope Markovic","orcid":null},"institutions":[{"id":"https://openalex.org/I35566140","display_name":"Loyola Marymount University","ror":"https://ror.org/00xhj8c72","country_code":"US","type":"education","lineage":["https://openalex.org/I35566140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Milla Penelope Markovic","raw_affiliation_strings":["Loyola Marymount University,Dept. of Computer Science,Los Angeles,United States","Dept. of Computer Science, Loyola Marymount University, Los Angeles, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Loyola Marymount University,Dept. of Computer Science,Los Angeles,United States","institution_ids":["https://openalex.org/I35566140"]},{"raw_affiliation_string":"Dept. of Computer Science, Loyola Marymount University, Los Angeles, United States","institution_ids":["https://openalex.org/I35566140"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082403411","display_name":"Delaram Yazdansepas","orcid":"https://orcid.org/0000-0001-7998-8792"},"institutions":[{"id":"https://openalex.org/I35566140","display_name":"Loyola Marymount University","ror":"https://ror.org/00xhj8c72","country_code":"US","type":"education","lineage":["https://openalex.org/I35566140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Delaram Yazdansepas","raw_affiliation_strings":["Loyola Marymount University,Dept. of Computer Science,Los Angeles,United States","Dept. of Computer Science, Loyola Marymount University, Los Angeles, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Loyola Marymount University,Dept. of Computer Science,Los Angeles,United States","institution_ids":["https://openalex.org/I35566140"]},{"raw_affiliation_string":"Dept. of Computer Science, Loyola Marymount University, Los Angeles, United States","institution_ids":["https://openalex.org/I35566140"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I35566140"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30747226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9997000098228455,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9997000098228455,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9984999895095825,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.730671226978302},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.6644192934036255},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5806393027305603},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.50173020362854},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43409955501556396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38945627212524414},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.2383553683757782},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09630987048149109}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.730671226978302},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.6644192934036255},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5806393027305603},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.50173020362854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43409955501556396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38945627212524414},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.2383553683757782},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09630987048149109}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bsn58485.2023.10331324","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bsn58485.2023.10331324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Body Sensor Networks (BSN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1823431077","https://openalex.org/W1894414046","https://openalex.org/W2054780155","https://openalex.org/W2104130547","https://openalex.org/W2150593711","https://openalex.org/W2291187424","https://openalex.org/W2489877216","https://openalex.org/W2556160298","https://openalex.org/W2965196971","https://openalex.org/W2966185075","https://openalex.org/W3174752903"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"An":[0],"important":[1],"field":[2],"within":[3,143],"Human":[4],"Activity":[5],"Recognition":[6],"is":[7],"the":[8,16,31,42,51,95,139],"evaluation":[9],"of":[10,18,45,141],"disease":[11],"and":[12,50,58,68,103,132,159],"patient":[13],"recovery":[14],"through":[15],"assessment":[17],"gait":[19,36,46,56,59,72,115,129,144,167],"patterns.":[20,37],"Clustering":[21],"has":[22,85],"been":[23],"used":[24],"as":[25,90],"a":[26,91,111,133,162],"data-mining":[27],"technique":[28],"to":[29,53,79,128],"find":[30],"prior":[32],"patterns":[33,57],"in":[34,87],"subjects\u2019":[35],"Previous":[38,61],"studies":[39],"have":[40,63,153],"shown":[41],"discriminative":[43,155],"power":[44],"clustering":[47,84,116,135],"on":[48,65],"biometrics,":[49],"ability":[52],"detect":[54],"abnormal":[55],"pathology.":[60,168],"techniques":[62],"relied":[64],"expensive":[66],"machinery":[67],"closed":[69],"environments":[70],"for":[71,93,113,137,157,166],"pattern":[73],"extraction":[74],"and/or":[75],"simplistic":[76],"featured":[77],"approaches":[78],"clustering.":[80],"Geometric":[81],"time":[82,100],"series":[83,101],"developed":[86],"other":[88],"fields":[89],"method":[92,112,136],"incorporating":[94],"information":[96],"from":[97,120],"an":[98,126],"entire":[99],"sequence":[102],"comparing":[104],"sequences":[105],"with":[106],"temporal":[107],"distortions.":[108],"We":[109],"present":[110],"geometric":[114],"using":[117],"accelerometer":[118],"data":[119],"wearable":[121],"sensors.":[122],"Our":[123,147],"methods":[124,152],"include":[125],"approach":[127],"cycle":[130,145],"averaging":[131],"two-way":[134],"assessing":[138],"similarity":[140],"biometrics":[142,158],"clusters.":[146],"results":[148],"demonstrate":[149],"that":[150],"our":[151],"significant":[154],"efficacy":[156],"may":[160],"be":[161],"useful":[163],"analytical":[164],"tool":[165]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
