{"id":"https://openalex.org/W7141589899","doi":"https://doi.org/10.1109/icce67443.2026.11449851","title":"Exercise Pose Detection Using 3D LiDAR: Mapping Human Movement","display_name":"Exercise Pose Detection Using 3D LiDAR: Mapping Human Movement","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7141589899","doi":"https://doi.org/10.1109/icce67443.2026.11449851"},"language":null,"primary_location":{"id":"doi:10.1109/icce67443.2026.11449851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","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/A5130762088","display_name":"Mitchell Zinck","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mitchell Zinck","raw_affiliation_strings":["Carleton University,The School of Information Technology,Department of Systems and Computer Engineering,Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University,The School of Information Technology,Department of Systems and Computer Engineering,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130809527","display_name":"Ray Huda","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ray Huda","raw_affiliation_strings":["Carleton University,The School of Information Technology,Department of Systems and Computer Engineering,Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University,The School of Information Technology,Department of Systems and Computer Engineering,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088848365","display_name":"Evan webster","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Evan Webster","raw_affiliation_strings":["Carleton University,The School of Information Technology,Department of Systems and Computer Engineering,Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University,The School of Information Technology,Department of Systems and Computer Engineering,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029996071","display_name":"Marzieh Amini","orcid":"https://orcid.org/0000-0002-5217-2969"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Marzieh Amini","raw_affiliation_strings":["Carleton University,The School of Information Technology,Department of Systems and Computer Engineering,Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University,The School of Information Technology,Department of Systems and Computer Engineering,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5130762088"],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.95024854,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.7555000185966492,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.7555000185966492,"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/T12290","display_name":"Human Motion and Animation","score":0.04769999906420708,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.04010000079870224,"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/movement","display_name":"Movement (music)","score":0.4950999915599823},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2874000072479248},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2818000018596649},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.27000001072883606},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.2574999928474426}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6532999873161316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6251000165939331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.541100025177002},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.4950999915599823},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27000001072883606},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C2988484212","wikidata":"https://www.wikidata.org/wiki/Q43471","display_name":"Human arm","level":2,"score":0.24210000038146973},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.24140000343322754}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce67443.2026.11449851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2979637742","https://openalex.org/W2979856235","https://openalex.org/W3117901461","https://openalex.org/W3120599689","https://openalex.org/W3173512142","https://openalex.org/W4206780588","https://openalex.org/W4319300493","https://openalex.org/W4379740486","https://openalex.org/W4386920324","https://openalex.org/W4411725701"],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"light":[1],"detection":[2,68,123],"and":[3,27,43,69],"ranging":[4],"(LiDAR)":[5],"technology":[6,51],"has":[7],"emerged":[8],"as":[9],"a":[10,38,110],"promising":[11],"approach":[12,133],"to":[13,41,76],"enhance":[14],"sensing":[15],"systems,":[16],"particularly":[17],"in":[18,24,97,134,150,162],"human":[19,45,164],"activity":[20],"recognition":[21],"(HAR).":[22],"Advances":[23],"computer":[25],"vision":[26],"LiDAR":[28,50,114,149],"sensor":[29],"development":[30],"are":[31],"revolutionizing":[32],"HAR":[33],"systems.":[34],"This":[35,118,139],"work":[36],"proposes":[37],"novel":[39],"method":[40,119],"detect":[42],"classify":[44],"exercise":[46],"poses":[47],"using":[48,166],"3D":[49,66,75,87,98,113,148,167],"by":[52],"taking":[53],"advantage":[54],"of":[55,83,125,131,147],"deep":[56],"learning":[57],"techniques.":[58],"We":[59],"utilize":[60],"the":[61,81,105,122,129,144,157],"Point":[62],"Pillars":[63],"network":[64],"for":[65,73,86,94,159],"object":[67],"employ":[70],"pseudo-image":[71],"transformation":[72],"effective":[74,145],"2D":[77,84],"data":[78,90,101],"conversion,":[79],"enhancing":[80,135],"applicability":[82],"CNNs":[85],"point":[88,99,115],"cloud":[89,100,116],"analysis.":[91],"To":[92],"account":[93],"temporal":[95],"dependencies":[96],"streams,":[102],"we":[103],"use":[104,146],"\"smush\"":[106],"technique,":[107],"which":[108],"considers":[109],"few":[111],"consecutive":[112],"frames.":[117],"significantly":[120],"improves":[121],"accuracy":[124],"dynamic":[126],"exercises,":[127],"highlighting":[128],"potential":[130],"our":[132],"fitness":[136],"monitoring":[137],"technologies.":[138],"research":[140],"not":[141],"only":[142],"demonstrates":[143],"capturing":[151],"complex":[152],"activities":[153],"but":[154],"also":[155],"lays":[156],"groundwork":[158],"future":[160],"advancements":[161],"mapping":[163],"movement":[165],"LiDAR.":[168],"<sup":[169],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[170],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[171]},"counts_by_year":[],"updated_date":"2026-03-29T06:01:01.467347","created_date":"2026-03-28T00:00:00"}
