{"id":"https://openalex.org/W7110317988","doi":"https://doi.org/10.1109/wf-iot64238.2025.11270475","title":"Bench Press Classification via Multimodal Fusion of Wearable EMG and IMU Sensors","display_name":"Bench Press Classification via Multimodal Fusion of Wearable EMG and IMU Sensors","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W7110317988","doi":"https://doi.org/10.1109/wf-iot64238.2025.11270475"},"language":null,"primary_location":{"id":"doi:10.1109/wf-iot64238.2025.11270475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot64238.2025.11270475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 11th World Forum on Internet of Things (WF-IoT)","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":null,"display_name":"Lingxiang Tang","orcid":null},"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":true,"raw_author_name":"Lingxiang Tang","raw_affiliation_strings":["School of Control Science and Engineering Dalian University of Technology,Dalian,China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering Dalian University of Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xin Shi","orcid":null},"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":"Xin Shi","raw_affiliation_strings":["School of Control Science and Engineering Dalian University of Technology,Dalian,China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering Dalian University of Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yongtao Chen","orcid":null},"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":"Yongtao Chen","raw_affiliation_strings":["School of Control Science and Engineering Dalian University of Technology,Dalian,China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering Dalian University of Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hongkai Zhao","orcid":null},"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":"Hongkai Zhao","raw_affiliation_strings":["School of Control Science and Engineering Dalian University of Technology,Dalian,China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering Dalian University of Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ke Zhang","orcid":null},"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":"Ke Zhang","raw_affiliation_strings":["School of Control Science and Engineering Dalian University of Technology,Dalian,China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering Dalian University of Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhelong Wang","orcid":null},"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"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering Dalian University of Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fortino Giancarlo","orcid":null},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fortino Giancarlo","raw_affiliation_strings":["Electronics and System Engineering University of Calabria,Rende,Italy"],"affiliations":[{"raw_affiliation_string":"Electronics and System Engineering University of Calabria,Rende,Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hongyu Zhao","orcid":null},"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":"Hongyu Zhao","raw_affiliation_strings":["School of Control Science and Engineering Dalian University of Technology,Dalian,China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering Dalian University of Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51128966,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.7458999752998352,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.7458999752998352,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.050599999725818634,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.030300000682473183,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.703000009059906},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.684499979019165},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5666000247001648},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5134999752044678},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5059999823570251},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4961000084877014},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.46160000562667847},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4074000120162964}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.703000009059906},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.684499979019165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6725000143051147},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5666000247001648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5444999933242798},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5134999752044678},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5059999823570251},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4961000084877014},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.46160000562667847},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4074000120162964},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3797999918460846},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.37779998779296875},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.34779998660087585},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3416000008583069},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.2759999930858612},{"id":"https://openalex.org/C165150422","wikidata":"https://www.wikidata.org/wiki/Q449573","display_name":"Paddle","level":2,"score":0.25040000677108765},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wf-iot64238.2025.11270475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot64238.2025.11270475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 11th World Forum on Internet of Things (WF-IoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7192984223365784}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1953241582","https://openalex.org/W2072588720","https://openalex.org/W2590194909","https://openalex.org/W2784646928","https://openalex.org/W2994834685","https://openalex.org/W3089682350","https://openalex.org/W3107139030","https://openalex.org/W3112158255","https://openalex.org/W3135214602","https://openalex.org/W3153924659","https://openalex.org/W4312902696","https://openalex.org/W4391849512","https://openalex.org/W4400502994","https://openalex.org/W4406428564"],"related_works":[],"abstract_inverted_index":{"Bench":[0],"press":[1],"is":[2],"a":[3,44,51,81,112],"fundamental":[4],"upper-body":[5],"strength":[6],"exercise":[7,28],"widely":[8],"utilized":[9],"in":[10,150],"military":[11],"training,":[12],"athletic":[13],"conditioning,":[14],"and":[15,25,33,64,73,93,96,127,147],"daily":[16],"fitness":[17],"routines.":[18],"However,":[19],"improper":[20],"technique":[21],"during":[22],"this":[23,39,41],"repetitive":[24],"heavily":[26],"loaded":[27],"can":[29],"reduce":[30,91],"training":[31,145],"efficiency":[32],"increase":[34],"injury":[35,148],"risks.":[36],"To":[37],"address":[38],"challenge,":[40],"study":[42],"proposes":[43],"approach":[45],"for":[46],"classifying":[47],"bench-press":[48],"movements":[49],"using":[50],"wearable":[52],"multisensor":[53],"fusion":[54],"system.":[55],"The":[56],"method":[57],"integrates":[58],"barbell-mounted":[59],"inertial":[60],"measurement":[61],"units":[62],"(IMU)":[63],"surface":[65],"electromyography":[66],"(sEMG)":[67],"sensors":[68],"to":[69,89],"capture":[70],"detailed":[71],"kinematic":[72],"myoelectric":[74],"signals.":[75],"These":[76],"signals":[77],"are":[78],"processed":[79],"with":[80,111],"hybrid":[82],"Long":[83],"Short-Term":[84],"Memory\u2013Extended":[85],"Kalman":[86],"Filter":[87],"(LSTM\u2013EKF)":[88],"effectively":[90],"noise":[92],"correct":[94],"drift,":[95],"then":[97],"segmented":[98],"into":[99],"four":[100],"distinct":[101],"phases.":[102],"A":[103],"Temporal":[104],"Convolutional":[105],"Network":[106],"(TCN)":[107],"classifies":[108],"these":[109],"phases":[110],"high":[113],"accuracy":[114],"of":[115],"94.24%,":[116],"surpassing":[117],"comparative":[118],"models.":[119],"Comprehensive":[120],"evaluations,":[121],"including":[122],"confusion":[123],"matrices,":[124],"ROC":[125],"curves,":[126],"t-SNE":[128],"visualizations,":[129],"confirm":[130],"the":[131],"model\u2019s":[132],"strong":[133],"discriminative":[134],"capability.":[135],"This":[136],"portable":[137],"system":[138],"provides":[139],"precise,":[140],"rapid":[141],"feedback,":[142],"facilitating":[143],"improved":[144],"techniques":[146],"prevention":[149],"diverse":[151],"environments.":[152]},"counts_by_year":[],"updated_date":"2025-12-10T02:45:41.426853","created_date":"2025-12-08T00:00:00"}