{"id":"https://openalex.org/W3215406315","doi":"https://doi.org/10.3390/s21237791","title":"Human Behavior Recognition Model Based on Feature and Classifier Selection","display_name":"Human Behavior Recognition Model Based on Feature and Classifier Selection","publication_year":2021,"publication_date":"2021-11-23","ids":{"openalex":"https://openalex.org/W3215406315","doi":"https://doi.org/10.3390/s21237791","mag":"3215406315","pmid":"https://pubmed.ncbi.nlm.nih.gov/34883795"},"language":"en","primary_location":{"id":"doi:10.3390/s21237791","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21237791","pdf_url":"https://www.mdpi.com/1424-8220/21/23/7791/pdf?version=1637672130","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/1424-8220/21/23/7791/pdf?version=1637672130","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102875770","display_name":"Ge Gao","orcid":"https://orcid.org/0000-0002-3227-6015"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Gao","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University, Changzhou 213000, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University, Changzhou 213000, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701695","display_name":"Zhixin Li","orcid":"https://orcid.org/0000-0002-5313-6134"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixin Li","raw_affiliation_strings":["School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213000, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213000, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083340190","display_name":"Zhan Huan","orcid":"https://orcid.org/0000-0002-8093-5513"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhan Huan","raw_affiliation_strings":["School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213000, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213000, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383143","display_name":"Ying Chen","orcid":"https://orcid.org/0009-0008-8183-6729"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Chen","raw_affiliation_strings":["School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213000, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213000, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042769071","display_name":"Jiuzhen Liang","orcid":"https://orcid.org/0000-0003-3511-3374"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuzhen Liang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University, Changzhou 213000, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University, Changzhou 213000, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057858806","display_name":"Bangwen Zhou","orcid":"https://orcid.org/0000-0003-2498-078X"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bangwen Zhou","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University, Changzhou 213000, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University, Changzhou 213000, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007494796","display_name":"Chenhui Dong","orcid":"https://orcid.org/0000-0002-4246-452X"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenhui Dong","raw_affiliation_strings":["School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213000, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213000, China","institution_ids":["https://openalex.org/I4210153482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5083340190"],"corresponding_institution_ids":["https://openalex.org/I4210153482"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.3253,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.90460985,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"21","issue":"23","first_page":"7791","last_page":"7791"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.951200008392334,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9495000243186951,"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/activity-recognition","display_name":"Activity recognition","score":0.8237376809120178},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7076464295387268},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6784881949424744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.677878737449646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6687993407249451},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6220289468765259},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.510767936706543},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.4553840458393097},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.45002490282058716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44615229964256287},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4290462136268616},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4206570088863373},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.4173116087913513},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.23182624578475952},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.08745437860488892}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.8237376809120178},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7076464295387268},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6784881949424744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.677878737449646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6687993407249451},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6220289468765259},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.510767936706543},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.4553840458393097},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.45002490282058716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44615229964256287},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4290462136268616},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4206570088863373},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.4173116087913513},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.23182624578475952},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.08745437860488892},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21237791","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21237791","pdf_url":"https://www.mdpi.com/1424-8220/21/23/7791/pdf?version=1637672130","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:34883795","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34883795","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:4f27090167a34943bdff332e078ee46d","is_oa":true,"landing_page_url":"https://doaj.org/article/4f27090167a34943bdff332e078ee46d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 23, p 7791 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/23/7791/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21237791","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 23; Pages: 7791","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8659462","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8659462","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"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/s21237791","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21237791","pdf_url":"https://www.mdpi.com/1424-8220/21/23/7791/pdf?version=1637672130","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":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3215406315.pdf","grobid_xml":"https://content.openalex.org/works/W3215406315.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W761905901","https://openalex.org/W1495617916","https://openalex.org/W1532501984","https://openalex.org/W1993761347","https://openalex.org/W2003948557","https://openalex.org/W2034899024","https://openalex.org/W2129793335","https://openalex.org/W2137880226","https://openalex.org/W2195342085","https://openalex.org/W2260771218","https://openalex.org/W2273777316","https://openalex.org/W2523257820","https://openalex.org/W2594116048","https://openalex.org/W2608703604","https://openalex.org/W2618146632","https://openalex.org/W2736191430","https://openalex.org/W2771247593","https://openalex.org/W2774823188","https://openalex.org/W2782627175","https://openalex.org/W2782760357","https://openalex.org/W2789868604","https://openalex.org/W2790228532","https://openalex.org/W2790231294","https://openalex.org/W2790414609","https://openalex.org/W2801908962","https://openalex.org/W2802717283","https://openalex.org/W2802868615","https://openalex.org/W2804739511","https://openalex.org/W2806446597","https://openalex.org/W2887499899","https://openalex.org/W2898547844","https://openalex.org/W2946273500","https://openalex.org/W2950449254","https://openalex.org/W2963563124","https://openalex.org/W2967537207","https://openalex.org/W2970993639","https://openalex.org/W2990774854","https://openalex.org/W3014082649","https://openalex.org/W3017181332","https://openalex.org/W3022911583","https://openalex.org/W3031521878","https://openalex.org/W3078916875","https://openalex.org/W3091887760","https://openalex.org/W3097993951","https://openalex.org/W3111513206","https://openalex.org/W3125907799","https://openalex.org/W3126142534","https://openalex.org/W3127967531","https://openalex.org/W3196018330","https://openalex.org/W3202143308","https://openalex.org/W3207529749","https://openalex.org/W3207672581","https://openalex.org/W4213209412","https://openalex.org/W4250313873","https://openalex.org/W6605479355","https://openalex.org/W6629785765","https://openalex.org/W6692628530"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W2353818951","https://openalex.org/W2281498195","https://openalex.org/W1605879311","https://openalex.org/W2611980620","https://openalex.org/W2385763735","https://openalex.org/W1975325338","https://openalex.org/W4382999732","https://openalex.org/W3181401746","https://openalex.org/W2982423860"],"abstract_inverted_index":{"With":[0],"the":[1,5,53,56,87,102,115,134,157],"rapid":[2],"development":[3],"of":[4,90,93,106],"computer":[6],"and":[7,32,74,117,129,179,188],"sensor":[8,11,81],"field,":[9],"inertial":[10,80,107],"data":[12,105],"have":[13],"been":[14],"widely":[15],"used":[16,160,176],"in":[17,35,161],"human":[18,27,64,71,103],"activity":[19,65,72,104],"recognition.":[20],"At":[21],"present,":[22],"most":[23],"relevant":[24],"studies":[25],"divide":[26],"activities":[28],"into":[29],"basic":[30,37],"actions":[31,38,46,131,144],"transitional":[33,45,130,180],"actions,":[34,94,181],"which":[36],"are":[39],"classified":[40],"by":[41],"unified":[42],"features,":[43],"while":[44,142],"usually":[47],"use":[48],"context":[49],"information":[50],"to":[51,100,170],"determine":[52],"category.":[54],"For":[55],"existing":[57],"single":[58],"method":[59],"that":[60,127],"cannot":[61],"well":[62],"realize":[63],"recognition,":[66],"this":[67],"paper":[68],"proposes":[69],"a":[70,96,165],"classification":[73,148],"recognition":[75,136,167,183],"model":[76,84],"based":[77],"on":[78,120,138,150],"smartphone":[79],"data.":[82],"The":[83,123],"fully":[85],"considers":[86],"feature":[88,155,159],"differences":[89],"different":[91,110,121],"properties":[92],"uses":[95],"fixed":[97],"sliding":[98],"window":[99],"segment":[101],"sensors":[108],"with":[109],"attributes":[111],"and,":[112],"finally,":[113],"extracts":[114],"features":[116,174],"recognizes":[118],"them":[119],"classifiers.":[122],"experimental":[124],"results":[125],"show":[126],"dynamic":[128,162],"could":[132,145],"obtain":[133,146],"best":[135],"performance":[137],"support":[139],"vector":[140],"machines,":[141],"static":[143,178],"better":[147],"effects":[149],"ensemble":[151],"classifiers;":[152],"as":[153],"for":[154,177],"selection,":[156],"frequency-domain":[158],"action":[163],"had":[164],"high":[166],"rate,":[168],"up":[169],"99.35%.":[171],"When":[172],"time-domain":[173],"were":[175,185],"higher":[182],"rates":[184],"obtained,":[186],"98.40%":[187],"91.98%,":[189],"respectively.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}