{"id":"https://openalex.org/W3203158334","doi":"https://doi.org/10.3390/s21196393","title":"Recognition of Fine-Grained Walking Patterns Using a Smartwatch with Deep Attentive Neural Networks","display_name":"Recognition of Fine-Grained Walking Patterns Using a Smartwatch with Deep Attentive Neural Networks","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W3203158334","doi":"https://doi.org/10.3390/s21196393","mag":"3203158334","pmid":"https://pubmed.ncbi.nlm.nih.gov/34640712"},"language":"en","primary_location":{"id":"doi:10.3390/s21196393","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196393","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6393/pdf?version=1632647857","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/19/6393/pdf?version=1632647857","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024592220","display_name":"Hyejoo Kim","orcid":"https://orcid.org/0000-0003-0917-1781"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyejoo Kim","raw_affiliation_strings":["Machine Learning Systems Lab., College of Sports Science, Sungkyunkwan University, Suwon 16419, Korea"],"raw_orcid":"https://orcid.org/0000-0003-0917-1781","affiliations":[{"raw_affiliation_string":"Machine Learning Systems Lab., College of Sports Science, Sungkyunkwan University, Suwon 16419, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015524353","display_name":"Hyeon-Joo Kim","orcid":"https://orcid.org/0000-0001-8066-6563"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeon-Joo Kim","raw_affiliation_strings":["Machine Learning Systems Lab., College of Sports Science, Sungkyunkwan University, Suwon 16419, Korea"],"raw_orcid":"https://orcid.org/0000-0001-8066-6563","affiliations":[{"raw_affiliation_string":"Machine Learning Systems Lab., College of Sports Science, Sungkyunkwan University, Suwon 16419, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075237557","display_name":"Jinyoon Park","orcid":"https://orcid.org/0000-0001-6440-1493"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinyoon Park","raw_affiliation_strings":["Machine Learning Systems Lab., College of Sports Science, Sungkyunkwan University, Suwon 16419, Korea","The Department of Sport Interaction Science (SIS), Sungkyunkwan University, Suwon 16419, Korea"],"raw_orcid":"https://orcid.org/0000-0001-6440-1493","affiliations":[{"raw_affiliation_string":"Machine Learning Systems Lab., College of Sports Science, Sungkyunkwan University, Suwon 16419, Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"The Department of Sport Interaction Science (SIS), Sungkyunkwan University, Suwon 16419, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053250432","display_name":"Jeh-Kwang Ryu","orcid":"https://orcid.org/0000-0001-6942-9399"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jeh-Kwang Ryu","raw_affiliation_strings":["Department of Physical Education, College of Education, Dongguk University, Seoul 04620, Korea"],"raw_orcid":"https://orcid.org/0000-0001-6942-9399","affiliations":[{"raw_affiliation_string":"Department of Physical Education, College of Education, Dongguk University, Seoul 04620, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039793968","display_name":"Seung-Chan Kim","orcid":"https://orcid.org/0000-0001-7292-5166"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seung-Chan Kim","raw_affiliation_strings":["Machine Learning Systems Lab., College of Sports Science, Sungkyunkwan University, Suwon 16419, Korea","The Department of Sport Interaction Science (SIS), Sungkyunkwan University, Suwon 16419, Korea"],"raw_orcid":"https://orcid.org/0000-0001-7292-5166","affiliations":[{"raw_affiliation_string":"Machine Learning Systems Lab., College of Sports Science, Sungkyunkwan University, Suwon 16419, Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"The Department of Sport Interaction Science (SIS), Sungkyunkwan University, Suwon 16419, Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039793968","https://openalex.org/A5053250432"],"corresponding_institution_ids":["https://openalex.org/I205490536","https://openalex.org/I848706"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.6241,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.90697207,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"21","issue":"19","first_page":"6393","last_page":"6393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9872000217437744,"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"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9635000228881836,"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/smartwatch","display_name":"Smartwatch","score":0.9104554653167725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7111523747444153},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6690266132354736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6429392099380493},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6034916639328003},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5786258578300476},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5208147764205933},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4515116810798645},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.44163352251052856},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43133363127708435},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.37273260951042175}],"concepts":[{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.9104554653167725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7111523747444153},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6690266132354736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6429392099380493},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6034916639328003},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5786258578300476},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5208147764205933},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4515116810798645},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.44163352251052856},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43133363127708435},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37273260951042175},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016138","descriptor_name":"Walking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016138","descriptor_name":"Walking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016138","descriptor_name":"Walking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21196393","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196393","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6393/pdf?version=1632647857","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34640712","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34640712","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:82d250f9db784b1495e7f6c9b3e24884","is_oa":true,"landing_page_url":"https://doaj.org/article/82d250f9db784b1495e7f6c9b3e24884","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 19, p 6393 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/19/6393/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21196393","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 19; Pages: 6393","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8511983","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8511983","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21196393","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196393","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6393/pdf?version=1632647857","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4471639822","display_name":null,"funder_award_id":"2019-0-00050","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4917589096","display_name":null,"funder_award_id":"NRF-2020R1C1C1010666","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6297514046","display_name":null,"funder_award_id":"2019-0-00050","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6559411443","display_name":null,"funder_award_id":"2020R1C1C1010666","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3203158334.pdf","grobid_xml":"https://content.openalex.org/works/W3203158334.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W273955616","https://openalex.org/W1514535095","https://openalex.org/W1522734439","https://openalex.org/W1538131130","https://openalex.org/W1596515083","https://openalex.org/W1832693441","https://openalex.org/W1902237438","https://openalex.org/W1990653740","https://openalex.org/W2017634428","https://openalex.org/W2026297770","https://openalex.org/W2063325108","https://openalex.org/W2064675550","https://openalex.org/W2085127536","https://openalex.org/W2121032479","https://openalex.org/W2128892560","https://openalex.org/W2130593633","https://openalex.org/W2131774270","https://openalex.org/W2140013239","https://openalex.org/W2143612262","https://openalex.org/W2157331557","https://openalex.org/W2187089797","https://openalex.org/W2219995598","https://openalex.org/W2223222085","https://openalex.org/W2259263553","https://openalex.org/W2270470215","https://openalex.org/W2342865424","https://openalex.org/W2400626766","https://openalex.org/W2532454984","https://openalex.org/W2556605533","https://openalex.org/W2741512373","https://openalex.org/W2762410434","https://openalex.org/W2802314367","https://openalex.org/W2808686737","https://openalex.org/W2810572381","https://openalex.org/W2894702700","https://openalex.org/W2902233445","https://openalex.org/W2902867562","https://openalex.org/W2915300743","https://openalex.org/W2916798096","https://openalex.org/W2941266383","https://openalex.org/W2963830138","https://openalex.org/W2965144482","https://openalex.org/W2972598116","https://openalex.org/W2999463295","https://openalex.org/W3027871700","https://openalex.org/W3092466831","https://openalex.org/W3100777112","https://openalex.org/W3112105942","https://openalex.org/W3133590696","https://openalex.org/W3147173796","https://openalex.org/W3154008086","https://openalex.org/W3185580468","https://openalex.org/W4234046016","https://openalex.org/W4239510810","https://openalex.org/W6610017368","https://openalex.org/W6762241614"],"related_works":["https://openalex.org/W4285587629","https://openalex.org/W2765158217","https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2756171776","https://openalex.org/W2566526749","https://openalex.org/W2790190351","https://openalex.org/W2007382769"],"abstract_inverted_index":{"Generally,":[0],"people":[1,9],"do":[2],"various":[3],"things":[4],"while":[5,12],"walking.":[6],"For":[7],"example,":[8,24],"frequently":[10],"walk":[11,19],"looking":[13],"at":[14],"their":[15],"smartphones.":[16],"Sometimes":[17],"we":[18,31,56,84,123],"differently":[20],"than":[21],"usual;":[22],"for":[23,103],"when":[25],"walking":[26,36,61,65,95,164],"on":[27],"ice":[28],"or":[29],"snow,":[30],"tend":[32],"to":[33,45,138,180],"waddle.":[34],"Understanding":[35],"patterns":[37],"could":[38],"provide":[39],"users":[40],"with":[41,105,151,174],"contextual":[42],"information":[43],"tailored":[44],"the":[46,69,76,81,115,140,156,167,172,182,186,190],"current":[47],"situation.":[48],"To":[49],"formulate":[50],"this":[51],"as":[52],"a":[53,86,99,106,125,144,161],"machine-learning":[54],"problem,":[55],"defined":[57],"18":[58],"different":[59],"everyday":[60],"styles.":[62,96],"Noting":[63],"that":[64,90,109],"strategies":[66],"significantly":[67],"affect":[68],"spatiotemporal":[70],"features":[71],"of":[72,80,117,127,163,185],"hand":[73,112],"motions,":[74],"e.g.,":[75],"speed":[77],"and":[78,133],"intensity":[79],"swinging":[82],"arm,":[83],"propose":[85],"smartwatch-based":[87],"wearable":[88,100],"system":[89],"can":[91,110],"recognize":[92],"these":[93],"predefined":[94],"We":[97,170],"developed":[98],"system,":[101],"suitable":[102],"use":[104],"commercial":[107],"smartwatch,":[108],"capture":[111],"motions":[113],"in":[114,143,189],"form":[116],"multivariate":[118],"timeseries":[119],"(MTS)":[120],"signals.":[121],"Then,":[122],"employed":[124],"set":[126],"machine":[128],"learning":[129,136,154],"algorithms,":[130,137,155],"including":[131],"feature-based":[132],"recent":[134,152,175],"deep":[135,153],"learn":[139],"MTS":[141,187],"data":[142],"supervised":[145],"fashion.":[146],"Experimental":[147],"results":[148,173],"demonstrated":[149],"that,":[150],"proposed":[157],"approach":[158],"successfully":[159],"recognized":[160],"variety":[162],"patterns,":[165],"using":[166],"smartwatch":[168],"measurements.":[169],"analyzed":[171],"attention-based":[176],"recurrent":[177],"neural":[178],"networks":[179],"understand":[181],"relative":[183],"contributions":[184],"signals":[188],"classification":[191],"process.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}