{"id":"https://openalex.org/W4416951160","doi":"https://doi.org/10.1145/3714394.3756193","title":"Robust In-the-Wild Exercise Recognition from a Single Wearable: Data-Side Fusion, Sensor Rotation, and Feature Engineering","display_name":"Robust In-the-Wild Exercise Recognition from a Single Wearable: Data-Side Fusion, Sensor Rotation, and Feature Engineering","publication_year":2025,"publication_date":"2025-10-12","ids":{"openalex":"https://openalex.org/W4416951160","doi":"https://doi.org/10.1145/3714394.3756193"},"language":null,"primary_location":{"id":"doi:10.1145/3714394.3756193","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3714394.3756193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2511.23173","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113366396","display_name":"Hoang Khang Phan","orcid":null},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Hoang Khang Phan","raw_affiliation_strings":["Department of Biomedical Engineering, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099","https://openalex.org/I123565023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104006945","display_name":"Khang Le","orcid":null},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Khang Le","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099","https://openalex.org/I123565023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114231421","display_name":"Tu Nhat Khang Nguyen","orcid":"https://orcid.org/0009-0007-9957-1178"},"institutions":[{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]},{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tu Nhat Khang Nguyen","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Ho Chi Minh, Vietnam"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Ho Chi Minh, Vietnam","institution_ids":["https://openalex.org/I47265099","https://openalex.org/I23582244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110966370","display_name":"Anh Dao","orcid":null},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Anh Van Dao","raw_affiliation_strings":["Department of Applied Mathematics, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101234644","display_name":"Nhat Tan Le","orcid":null},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nhat Tan Le","raw_affiliation_strings":["Department of Biomedical Engineering, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099","https://openalex.org/I123565023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5113366396"],"corresponding_institution_ids":["https://openalex.org/I123565023","https://openalex.org/I47265099"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41646742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1043","last_page":"1048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.7164000272750854,"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":0.7164000272750854,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.0575999990105629,"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":0.028200000524520874,"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/feature-extraction","display_name":"Feature extraction","score":0.5964999794960022},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5856000185012817},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.48500001430511475},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4375999867916107},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.3978999853134155},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.3847000002861023},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.3698999881744385},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.3506999909877777}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.616599977016449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6100999712944031},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5964999794960022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5856000185012817},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.48500001430511475},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4375999867916107},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4059000015258789},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.3978999853134155},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.3847000002861023},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.3698999881744385},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3506999909877777},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3499000072479248},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C132778050","wikidata":"https://www.wikidata.org/wiki/Q2065430","display_name":"Weighted voting","level":4,"score":0.32440000772476196},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.2858999967575073},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C2779726219","wikidata":"https://www.wikidata.org/wiki/Q7685884","display_name":"Target acquisition","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3714394.3756193","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3714394.3756193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2511.23173","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.23173","pdf_url":"https://arxiv.org/pdf/2511.23173","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2511.23173","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.23173","pdf_url":"https://arxiv.org/pdf/2511.23173","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Monitoring":[0],"physical":[1],"exercises":[2],"is":[3,141],"vital":[4],"for":[5,128,133],"health":[6,15],"promotion,":[7],"with":[8,97],"automated":[9],"systems":[10],"becoming":[11],"standard":[12],"in":[13,44],"personal":[14],"surveillance.":[16],"However,":[17],"sensor":[18,82],"placement":[19],"variability":[20],"and":[21,41,53,66,79,84,100],"unconstrained":[22],"movements":[23],"limit":[24],"their":[25],"effectiveness.":[26],"This":[27],"study":[28],"proposes":[29],"the":[30,109,139],"team":[31],"\"3KA\"'s":[32],"one-sensor":[33],"workout":[34],"activity":[35],"recognition":[36,130],"method":[37],"using":[38],"feature":[39],"extraction":[40,62],"data":[42,76],"augmentation":[43],"2nd":[45],"WEAR":[46],"Dataset":[47],"Challenge.":[48],"From":[49],"raw":[50],"acceleration,":[51],"angle":[52],"signal":[54],"magnitude":[55],"vector":[56],"features":[57,124],"were":[58,125],"derived,":[59],"followed":[60],"by":[61],"of":[63],"statistical,":[64],"fractal/spectral,":[65],"higher-order":[67],"differential":[68],"features.":[69],"A":[70],"fused":[71],"dataset":[72],"combining":[73,93],"left/right":[74],"limb":[75],"was":[77],"created,":[78],"augmented":[80],"via":[81],"rotation":[83],"axis":[85],"inversion.":[86],"We":[87],"utilized":[88],"a":[89],"soft":[90],"voting":[91],"model":[92,110],"Hist":[94],"Gradient":[95,102],"Boosting":[96,103],"balanced":[98],"weights":[99],"Extreme":[101],"without.":[104],"Under":[105],"group":[106],"5-fold":[107],"evaluation,":[108],"achieved":[111],"58.83%":[112],"macro":[113],"F1":[114],"overall":[115],"(61.72%":[116],"arm,":[117],"55.95%":[118],"leg).":[119],"ANOVA":[120],"F-score":[121],"showed":[122],"fractal/spectral":[123],"most":[126],"important":[127],"arm-based":[129],"but":[131],"least":[132],"leg-based.":[134],"The":[135],"code":[136],"to":[137],"reproduce":[138],"experiments":[140],"publicly":[142],"available":[143],"via:":[144],"https://github.com/Khanghcmut/WEAR3KA":[145]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-03T00:00:00"}
