{"id":"https://openalex.org/W4295768101","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882654","title":"Sports activity recognition with UWB and inertial sensors using deep learning approach","display_name":"Sports activity recognition with UWB and inertial sensors using deep learning approach","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4295768101","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882654"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee55066.2022.9882654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882654","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5024036844","display_name":"Iwona Paj\u0105k","orcid":"https://orcid.org/0000-0002-3923-9057"},"institutions":[{"id":"https://openalex.org/I46305939","display_name":"University of Zielona G\u00f3ra","ror":"https://ror.org/04fzm7v55","country_code":"PL","type":"education","lineage":["https://openalex.org/I46305939"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Iwona Pajak","raw_affiliation_strings":["University of Zielona Góra,Institute of Mechanical Engineering,Zielona Góra,Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Zielona Góra,Institute of Mechanical Engineering,Zielona Góra,Poland","institution_ids":["https://openalex.org/I46305939"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062680160","display_name":"Pascal Krutz","orcid":"https://orcid.org/0009-0002-1962-983X"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pascal Krutz","raw_affiliation_strings":["Chemnitz University of Technology,Institute for Machine Tools and Production Processes,Chemnitz,Germany","Institute for Machine Tools and Production Processes, Chemnitz University of Technology, Chemnitz, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chemnitz University of Technology,Institute for Machine Tools and Production Processes,Chemnitz,Germany","institution_ids":["https://openalex.org/I2610724"]},{"raw_affiliation_string":"Institute for Machine Tools and Production Processes, Chemnitz University of Technology, Chemnitz, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070816217","display_name":"Justyna Patalas\u2010Maliszewska","orcid":"https://orcid.org/0000-0003-2439-2865"},"institutions":[{"id":"https://openalex.org/I46305939","display_name":"University of Zielona G\u00f3ra","ror":"https://ror.org/04fzm7v55","country_code":"PL","type":"education","lineage":["https://openalex.org/I46305939"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Justyna Patalas-Maliszewska","raw_affiliation_strings":["University of Zielona Góra,Institute of Mechanical Engineering,Zielona Góra,Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Zielona Góra,Institute of Mechanical Engineering,Zielona Góra,Poland","institution_ids":["https://openalex.org/I46305939"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102901947","display_name":"Matthias Rehm","orcid":"https://orcid.org/0000-0001-7354-3856"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Rehm","raw_affiliation_strings":["Chemnitz University of Technology,Institute for Machine Tools and Production Processes,Chemnitz,Germany","Institute for Machine Tools and Production Processes, Chemnitz University of Technology, Chemnitz, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chemnitz University of Technology,Institute for Machine Tools and Production Processes,Chemnitz,Germany","institution_ids":["https://openalex.org/I2610724"]},{"raw_affiliation_string":"Institute for Machine Tools and Production Processes, Chemnitz University of Technology, Chemnitz, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112863245","display_name":"Grezgorz Pajak","orcid":null},"institutions":[{"id":"https://openalex.org/I46305939","display_name":"University of Zielona G\u00f3ra","ror":"https://ror.org/04fzm7v55","country_code":"PL","type":"education","lineage":["https://openalex.org/I46305939"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Grezgorz Pajak","raw_affiliation_strings":["University of Zielona Góra,Institute of Mechanical Engineering,Zielona Góra,Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Zielona Góra,Institute of Mechanical Engineering,Zielona Góra,Poland","institution_ids":["https://openalex.org/I46305939"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109328473","display_name":"Holger Schlegel","orcid":null},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Holger Schlegel","raw_affiliation_strings":["Chemnitz University of Technology,Institute for Machine Tools and Production Processes,Chemnitz,Germany","Institute for Machine Tools and Production Processes, Chemnitz University of Technology, Chemnitz, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chemnitz University of Technology,Institute for Machine Tools and Production Processes,Chemnitz,Germany","institution_ids":["https://openalex.org/I2610724"]},{"raw_affiliation_string":"Institute for Machine Tools and Production Processes, Chemnitz University of Technology, Chemnitz, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066532862","display_name":"Martin Dix","orcid":"https://orcid.org/0000-0002-2344-1656"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Dix","raw_affiliation_strings":["Chemnitz University of Technology,Institute for Machine Tools and Production Processes,Chemnitz,Germany","Institute for Machine Tools and Production Processes, Chemnitz University of Technology, Chemnitz, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chemnitz University of Technology,Institute for Machine Tools and Production Processes,Chemnitz,Germany","institution_ids":["https://openalex.org/I2610724"]},{"raw_affiliation_string":"Institute for Machine Tools and Production Processes, Chemnitz University of Technology, Chemnitz, Germany","institution_ids":["https://openalex.org/I2610724"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0171,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84880428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994000196456909,"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":0.9994000196456909,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.991599977016449,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.991599977016449,"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/computer-science","display_name":"Computer science","score":0.5928007960319519},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5099366903305054},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5017421245574951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4924541413784027},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.47309139370918274},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4410715103149414},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3382101058959961},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1006912887096405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5928007960319519},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5099366903305054},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5017421245574951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4924541413784027},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.47309139370918274},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4410715103149414},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3382101058959961},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1006912887096405},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee55066.2022.9882654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882654","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1868663739","https://openalex.org/W1991239827","https://openalex.org/W1999712889","https://openalex.org/W2059732136","https://openalex.org/W2105046342","https://openalex.org/W2160594359","https://openalex.org/W2169965301","https://openalex.org/W2270470215","https://openalex.org/W2316478175","https://openalex.org/W2897764506","https://openalex.org/W2918442879","https://openalex.org/W2978238437","https://openalex.org/W3036546791","https://openalex.org/W3081653309","https://openalex.org/W3178681001","https://openalex.org/W3190098015","https://openalex.org/W4212883601","https://openalex.org/W4239603996"],"related_works":["https://openalex.org/W2091018038","https://openalex.org/W2225378543","https://openalex.org/W9839718","https://openalex.org/W3110613631","https://openalex.org/W4287122200","https://openalex.org/W2742744817","https://openalex.org/W2040913503","https://openalex.org/W3016838864","https://openalex.org/W2766841671","https://openalex.org/W2382856674"],"abstract_inverted_index":{"Nowadays":[0],"the":[1,11,14,60,92,116,132,140,181,184],"sensor-based":[2,187],"human":[3],"activity":[4],"recognition":[5,61],"is":[6,23,177],"a":[7,35,48,70,137],"key":[8],"issue":[9],"in":[10,52,112,165],"field":[12],"of":[13,20,59,62,75,79,84,91,104,106,139,167,183],"physical":[15,192],"exercises\u2019":[16],"recognition.":[17],"The":[18,174],"purpose":[19],"this":[21],"paper":[22],"to":[24,54,114],"recognise":[25],"exercise":[26],"sports,":[27],"such":[28,191],"as":[29,194],"squats,":[30,85,195],"pull-ups":[31,80,196],"and":[32,47,81,119,135,148,197,201],"dips,":[33,76],"using":[34,145,150],"dataset":[36],"based":[37],"on":[38,199],"three":[39],"ultra-wideband":[40],"(UWB)":[41],"sensors":[42],"with":[43,65],"additional":[44,88],"inertial":[45],"data":[46],"deep":[49],"learning":[50],"approach":[51],"order":[53,113],"achieve":[55],"an":[56,87,101],"appropriate":[57],"rate":[58,118,142],"sports":[63],"exercises":[64,193],"reduced":[66],"computational":[67,120,162],"effort.":[68],"Firstly,":[69],"dataset,":[71],"containing":[72],"273":[73],"samples":[74,78,83,90],"215":[77],"956":[82],"plus":[86],"2024":[89],"input":[93],"signals":[94,130,147],"acquired":[95],"during":[96],"breaks,":[97],"was":[98,122,126,153,172],"created.":[99],"Next,":[100],"optimal":[102],"set":[103],"hyperparameters":[105],"Convolutional":[107],"Neural":[108],"Network":[109],"(CNN)":[110],"architecture":[111],"balance":[115],"accuracy":[117,141],"effort":[121],"achieved.":[123,173],"Finally,":[124],"it":[125],"discovered":[127],"that":[128],"acceleration":[129,151],"have":[131],"highest":[133],"energy":[134],"therefore,":[136],"comparison":[138],"between":[143],"CNN,":[144,149],"all":[146],"only,":[152],"carried":[154],"out":[155],"(97.5%":[156],"vs.":[157,170],"97.7%).":[158],"Moreover,":[159],"much":[160],"less":[161],"effort,":[163],"expressed":[164],"number":[166],"multiplications,":[168],"(1.8e4":[169],"1.2e5)":[171],"practical":[175],"usefulness":[176],"presented,":[178],"by":[179],"facilitating":[180],"implementation":[182],"presented":[185],"UWB":[186],"system":[188],"for":[189],"recognising":[190],"dips":[198],"smartphones":[200],"commonly":[202],"available":[203],"wearable":[204],"sensor":[205],"devices.":[206]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}