{"id":"https://openalex.org/W3201415571","doi":"https://doi.org/10.1145/3460421.3480431","title":"WeakCounter: Acceleration-based Repetition Counting of Actions with Weakly Supervised Learning","display_name":"WeakCounter: Acceleration-based Repetition Counting of Actions with Weakly Supervised Learning","publication_year":2021,"publication_date":"2021-09-20","ids":{"openalex":"https://openalex.org/W3201415571","doi":"https://doi.org/10.1145/3460421.3480431","mag":"3201415571"},"language":"en","primary_location":{"id":"doi:10.1145/3460421.3480431","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460421.3480431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Wearable Computers","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/A5008429146","display_name":"Yuuki Nishino","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuuki Nishino","raw_affiliation_strings":["Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039456378","display_name":"Takuya Maekawa","orcid":"https://orcid.org/0000-0002-7227-580X"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Maekawa","raw_affiliation_strings":["Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012025870","display_name":"Takahiro Hara","orcid":"https://orcid.org/0000-0003-4807-3156"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Hara","raw_affiliation_strings":["Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"144","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996999979019165,"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":0.996399998664856,"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/repetition","display_name":"Repetition (rhetorical device)","score":0.7456527352333069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6901686787605286},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.635565996170044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.563982367515564},{"id":"https://openalex.org/keywords/diversification","display_name":"Diversification (marketing strategy)","score":0.5142828822135925},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4827263057231903},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.4215669631958008},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4017006456851959},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36794912815093994},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0919012725353241}],"concepts":[{"id":"https://openalex.org/C2776141515","wikidata":"https://www.wikidata.org/wiki/Q1274479","display_name":"Repetition (rhetorical device)","level":2,"score":0.7456527352333069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901686787605286},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.635565996170044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.563982367515564},{"id":"https://openalex.org/C180916674","wikidata":"https://www.wikidata.org/wiki/Q3711935","display_name":"Diversification (marketing strategy)","level":2,"score":0.5142828822135925},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4827263057231903},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.4215669631958008},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4017006456851959},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36794912815093994},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0919012725353241},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3460421.3480431","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460421.3480431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Wearable Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1928906481","https://openalex.org/W1982828750","https://openalex.org/W1991239827","https://openalex.org/W2020369192","https://openalex.org/W2059806844","https://openalex.org/W2059983432","https://openalex.org/W2143364815","https://openalex.org/W2610166850","https://openalex.org/W2894702700","https://openalex.org/W2914426823","https://openalex.org/W2948969026","https://openalex.org/W2964318557","https://openalex.org/W2972889706","https://openalex.org/W2997535048","https://openalex.org/W2998347490","https://openalex.org/W3094231174","https://openalex.org/W3101667008","https://openalex.org/W4234531549","https://openalex.org/W4249914127"],"related_works":["https://openalex.org/W2996195527","https://openalex.org/W2978375718","https://openalex.org/W2612358220","https://openalex.org/W2351132524","https://openalex.org/W2916738897","https://openalex.org/W2392934913","https://openalex.org/W2801329620","https://openalex.org/W2003474770","https://openalex.org/W3011277146","https://openalex.org/W2387559381"],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"WeakCounter,":[3],"which":[4,42],"is":[5,24,43],"a":[6,15,19,39],"weakly":[7],"supervised":[8],"method":[9],"for":[10],"the":[11,48,72],"repetition":[12],"counting":[13],"of":[14,26,50,52,71],"human":[16],"action":[17,54],"using":[18],"body-worn":[20],"inertial":[21],"sensor.":[22],"WeakCounter":[23],"composed":[25],"two":[27],"novel":[28],"components:":[29],"i)":[30],"an":[31,53,57],"attention-based":[32],"network":[33],"that":[34,68],"can":[35],"be":[36],"trained":[37],"on":[38],"weak":[40],"label,":[41],"defined":[44],"to":[45],"specify":[46],"only":[47],"number":[49],"repetitions":[51],"included":[55],"in":[56,61],"input":[58],"data":[59],"segment":[60],"this":[62],"study,":[63],"and":[64],"ii)":[65],"label":[66],"diversification":[67],"enhances":[69],"training":[70],"network.":[73]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}