{"id":"https://openalex.org/W4303980499","doi":"https://doi.org/10.3390/s22197446","title":"A Novel Segmentation Scheme with Multi-Probability Threshold for Human Activity Recognition Using Wearable Sensors","display_name":"A Novel Segmentation Scheme with Multi-Probability Threshold for Human Activity Recognition Using Wearable Sensors","publication_year":2022,"publication_date":"2022-09-30","ids":{"openalex":"https://openalex.org/W4303980499","doi":"https://doi.org/10.3390/s22197446","pmid":"https://pubmed.ncbi.nlm.nih.gov/36236542"},"language":"en","primary_location":{"id":"doi:10.3390/s22197446","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22197446","pdf_url":"https://www.mdpi.com/1424-8220/22/19/7446/pdf?version=1664544226","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/1424-8220/22/19/7446/pdf?version=1664544226","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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"],"raw_orcid":null,"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/A5100417009","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0002-5881-7756"},"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":"Cheng Wang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University, Changzhou 213000, China"],"raw_orcid":null,"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/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":false,"raw_author_name":"Zhan Huan","raw_affiliation_strings":["School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213000, China"],"raw_orcid":"https://orcid.org/0000-0002-8093-5513","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/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"],"raw_orcid":null,"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"],"raw_orcid":null,"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/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"],"raw_orcid":null,"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/A5023912491","display_name":"Huahao Li","orcid":null},"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":"Huahao Li","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University, Changzhou 213000, China"],"raw_orcid":null,"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/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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213000, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"last","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"],"raw_orcid":null,"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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100417009"],"corresponding_institution_ids":["https://openalex.org/I4210153482"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.5669,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.63181541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"22","issue":"19","first_page":"7446","last_page":"7446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9866999983787537,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9850000143051147,"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/activity-recognition","display_name":"Activity recognition","score":0.7747564911842346},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7187758088111877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7074403762817383},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6650660634040833},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6162680387496948},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5614738464355469},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.551002562046051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5345757603645325},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5158028602600098},{"id":"https://openalex.org/keywords/probability-model","display_name":"Probability model","score":0.4852294921875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3237285017967224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16338974237442017},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12057110667228699},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.06601107120513916}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7747564911842346},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7187758088111877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7074403762817383},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6650660634040833},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6162680387496948},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5614738464355469},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.551002562046051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5345757603645325},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5158028602600098},{"id":"https://openalex.org/C2984179964","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Probability model","level":2,"score":0.4852294921875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3237285017967224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16338974237442017},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12057110667228699},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.06601107120513916},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","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":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22197446","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22197446","pdf_url":"https://www.mdpi.com/1424-8220/22/19/7446/pdf?version=1664544226","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:36236542","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36236542","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:ba55504b14c84cb98df70993c00682d2","is_oa":true,"landing_page_url":"https://doaj.org/article/ba55504b14c84cb98df70993c00682d2","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 22, Iss 19, p 7446 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/19/7446/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22197446","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 22; Issue 19; Pages: 7446","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9571277","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9571277","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/s22197446","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22197446","pdf_url":"https://www.mdpi.com/1424-8220/22/19/7446/pdf?version=1664544226","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/W4303980499.pdf","grobid_xml":"https://content.openalex.org/works/W4303980499.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W1507403634","https://openalex.org/W1550111146","https://openalex.org/W1980875180","https://openalex.org/W1994845513","https://openalex.org/W1999712889","https://openalex.org/W2023302299","https://openalex.org/W2026297770","https://openalex.org/W2054780155","https://openalex.org/W2055100454","https://openalex.org/W2123871098","https://openalex.org/W2143991132","https://openalex.org/W2155653793","https://openalex.org/W2170931123","https://openalex.org/W2219995598","https://openalex.org/W2338565696","https://openalex.org/W2342792048","https://openalex.org/W2523257820","https://openalex.org/W2765132766","https://openalex.org/W2770265759","https://openalex.org/W2790357073","https://openalex.org/W2884068903","https://openalex.org/W2887355508","https://openalex.org/W2893813411","https://openalex.org/W2896025697","https://openalex.org/W2948204427","https://openalex.org/W2954709787","https://openalex.org/W2988019621","https://openalex.org/W2997740130","https://openalex.org/W2998268595","https://openalex.org/W2998376881","https://openalex.org/W3006281198","https://openalex.org/W3009411039","https://openalex.org/W3033847194","https://openalex.org/W3044326989","https://openalex.org/W3048952742","https://openalex.org/W3127464213","https://openalex.org/W3140778669","https://openalex.org/W3185580468","https://openalex.org/W3214801461"],"related_works":["https://openalex.org/W2390901981","https://openalex.org/W3195649134","https://openalex.org/W2109115373","https://openalex.org/W2281498195","https://openalex.org/W4230691760","https://openalex.org/W4391923333","https://openalex.org/W2017526120","https://openalex.org/W2117913171","https://openalex.org/W3105278570","https://openalex.org/W2582769230"],"abstract_inverted_index":{"In":[0,62,108],"recent":[1],"years,":[2],"much":[3],"research":[4],"has":[5,57],"been":[6],"conducted":[7],"on":[8,26],"time":[9,33],"series":[10],"based":[11,25,69],"human":[12],"activity":[13,98],"recognition":[14],"(HAR)":[15],"using":[16,177],"wearable":[17],"sensors.":[18],"Most":[19],"existing":[20,165],"work":[21],"for":[22,78],"HAR":[23,126,185],"is":[24,76,116],"the":[27,31,91,120,133,138,141,151,171,178],"manual":[28],"labeling.":[29],"However,":[30],"complete":[32],"serial":[34],"signals":[35,99],"not":[36],"only":[37],"contain":[38],"different":[39],"types":[40],"of":[41,93,96,105,122,148],"activities,":[42,149],"but":[43],"also":[44],"include":[45],"many":[46],"transition":[47],"and":[48,83,100,103,180,192],"atypical":[49],"ones.":[50,107],"Thus,":[51],"effectively":[52],"filtering":[53],"out":[54],"these":[55],"activities":[56,153],"become":[58],"a":[59,65,73,110],"significant":[60],"problem.":[61],"this":[63],"paper,":[64],"novel":[66],"machine":[67],"learning":[68],"segmentation":[70,81],"scheme":[71],"with":[72,163],"multi-probability":[74],"threshold":[75],"proposed":[77,117,134,172],"HAR.":[79],"Threshold":[80],"(TS)":[82],"slope-area":[84],"(SA)":[85],"approaches":[86],"are":[87,187],"employed":[88],"according":[89],"to":[90,118,158,189],"characteristics":[92],"small":[94],"fluctuation":[95],"static":[97],"typical":[101],"peaks":[102],"troughs":[104],"periodic-like":[106],"addition,":[109],"multi-label":[111],"weighted":[112],"probability":[113,121],"(MLWP)":[114],"model":[115,135,173],"estimate":[119],"each":[123],"activity.":[124],"The":[125,183],"error":[127],"can":[128,136,154],"be":[129,155],"significantly":[130],"decreased,":[131],"as":[132],"solve":[137],"problem":[139],"that":[140,170],"fixed":[142],"window":[143],"usually":[144],"contains":[145],"multiple":[146],"kinds":[147],"while":[150],"unknown":[152],"accurately":[156],"rejected":[157],"reduce":[159],"their":[160],"impacts.":[161],"Compared":[162],"other":[164],"schemes,":[166],"computer":[167],"simulation":[168],"reveals":[169],"maintains":[174],"high":[175],"performance":[176],"UCI":[179],"PAMAP2":[181],"datasets.":[182],"average":[184],"accuracies":[186],"able":[188],"reach":[190],"97.71%":[191],"95.93%,":[193],"respectively.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}