{"id":"https://openalex.org/W3016422726","doi":"https://doi.org/10.3390/s20082216","title":"Analyzing the Effectiveness and Contribution of Each Axis of Tri-Axial Accelerometer Sensor for Accurate Activity Recognition","display_name":"Analyzing the Effectiveness and Contribution of Each Axis of Tri-Axial Accelerometer Sensor for Accurate Activity Recognition","publication_year":2020,"publication_date":"2020-04-14","ids":{"openalex":"https://openalex.org/W3016422726","doi":"https://doi.org/10.3390/s20082216","mag":"3016422726","pmid":"https://pubmed.ncbi.nlm.nih.gov/32295298"},"language":"en","primary_location":{"id":"doi:10.3390/s20082216","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20082216","pdf_url":"https://www.mdpi.com/1424-8220/20/8/2216/pdf","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/1424-8220/20/8/2216/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069580698","display_name":"Abdul Rehman Javed","orcid":"https://orcid.org/0000-0002-0570-1813"},"institutions":[{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Abdul Rehman Javed","raw_affiliation_strings":["National Center for Cyber Security, Air University, Islamabad 44000, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-0570-1813","affiliations":[{"raw_affiliation_string":"National Center for Cyber Security, Air University, Islamabad 44000, Pakistan","institution_ids":["https://openalex.org/I899713450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064553761","display_name":"Muhammad Usman Sarwar","orcid":"https://orcid.org/0000-0001-7494-3413"},"institutions":[{"id":"https://openalex.org/I201384688","display_name":"National University of Computer and Emerging Sciences","ror":"https://ror.org/003eyb898","country_code":"PK","type":"education","lineage":["https://openalex.org/I201384688"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Usman Sarwar","raw_affiliation_strings":["Department of Computer Sciences, National University of Computer and Emerging Sciences, Islamabad 44000, Pakistan"],"raw_orcid":"https://orcid.org/0000-0001-7494-3413","affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, National University of Computer and Emerging Sciences, Islamabad 44000, Pakistan","institution_ids":["https://openalex.org/I201384688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071609458","display_name":"Suleman Khan","orcid":"https://orcid.org/0000-0003-3102-4585"},"institutions":[{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Suleman Khan","raw_affiliation_strings":["National Center for Cyber Security, Air University, Islamabad 44000, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Center for Cyber Security, Air University, Islamabad 44000, Pakistan","institution_ids":["https://openalex.org/I899713450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081281059","display_name":"Celestine Iwendi","orcid":"https://orcid.org/0000-0003-4350-3911"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Celestine Iwendi","raw_affiliation_strings":["Department of Electronics BCC of Central South University of Forestry and Technology, Changsha 410004, China"],"raw_orcid":"https://orcid.org/0000-0003-4350-3911","affiliations":[{"raw_affiliation_string":"Department of Electronics BCC of Central South University of Forestry and Technology, Changsha 410004, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091132933","display_name":"Mohit Mittal","orcid":"https://orcid.org/0000-0003-0878-4615"},"institutions":[{"id":"https://openalex.org/I168356945","display_name":"Kyoto Sangyo University","ror":"https://ror.org/05t70xh16","country_code":"JP","type":"education","lineage":["https://openalex.org/I168356945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mohit Mittal","raw_affiliation_strings":["Department of Information Science and Engineering, Kyoto Sangyo University, Kyoto 603-8555, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0878-4615","affiliations":[{"raw_affiliation_string":"Department of Information Science and Engineering, Kyoto Sangyo University, Kyoto 603-8555, Japan","institution_ids":["https://openalex.org/I168356945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409306","display_name":"Neeraj Kumar","orcid":"https://orcid.org/0000-0002-3020-3947"},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Neeraj Kumar","raw_affiliation_strings":["Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab 147001, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab 147001, India","institution_ids":["https://openalex.org/I162030827"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100409306"],"corresponding_institution_ids":["https://openalex.org/I162030827"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":9.1353,"has_fulltext":true,"cited_by_count":112,"citation_normalized_percentile":{"value":0.987264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"20","issue":"8","first_page":"2216","last_page":"2216"},"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":0.991599977016449,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/accelerometer","display_name":"Accelerometer","score":0.9149634838104248},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7902995347976685},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6617506146430969},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6350184082984924},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6114358901977539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5831917524337769},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5292115807533264},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3580509424209595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34802600741386414},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3267829418182373}],"concepts":[{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.9149634838104248},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7902995347976685},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6617506146430969},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6350184082984924},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6114358901977539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5831917524337769},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5292115807533264},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3580509424209595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34802600741386414},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3267829418182373},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":"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":"D000077708","descriptor_name":"Sitting Position","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077708","descriptor_name":"Sitting Position","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077708","descriptor_name":"Sitting Position","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":"D009043","descriptor_name":"Motor Activity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009043","descriptor_name":"Motor Activity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009043","descriptor_name":"Motor Activity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012420","descriptor_name":"Running","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012420","descriptor_name":"Running","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012420","descriptor_name":"Running","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","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":false},{"descriptor_ui":"D016138","descriptor_name":"Walking","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":false},{"descriptor_ui":"D061725","descriptor_name":"Accelerometry","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D061725","descriptor_name":"Accelerometry","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D061725","descriptor_name":"Accelerometry","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D061725","descriptor_name":"Accelerometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D061725","descriptor_name":"Accelerometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D061725","descriptor_name":"Accelerometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s20082216","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20082216","pdf_url":"https://www.mdpi.com/1424-8220/20/8/2216/pdf","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:32295298","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32295298","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:4bf454f1db934796a3fe7aefe97531cd","is_oa":true,"landing_page_url":"https://doaj.org/article/4bf454f1db934796a3fe7aefe97531cd","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 20, Iss 8, p 2216 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/8/2216/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20082216","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","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7218902","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7218902","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/s20082216","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20082216","pdf_url":"https://www.mdpi.com/1424-8220/20/8/2216/pdf","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":[{"score":0.5799999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3016422726.pdf","grobid_xml":"https://content.openalex.org/works/W3016422726.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W325178781","https://openalex.org/W1538131130","https://openalex.org/W1973675857","https://openalex.org/W2002261403","https://openalex.org/W2003307570","https://openalex.org/W2008311091","https://openalex.org/W2015073962","https://openalex.org/W2017351764","https://openalex.org/W2017634428","https://openalex.org/W2023302299","https://openalex.org/W2031850392","https://openalex.org/W2033876581","https://openalex.org/W2035298159","https://openalex.org/W2057968074","https://openalex.org/W2072737142","https://openalex.org/W2083514219","https://openalex.org/W2105046342","https://openalex.org/W2129793335","https://openalex.org/W2133990480","https://openalex.org/W2148143831","https://openalex.org/W2396780844","https://openalex.org/W2404247879","https://openalex.org/W2518688647","https://openalex.org/W2619606157","https://openalex.org/W2620505295","https://openalex.org/W2623595444","https://openalex.org/W2729021829","https://openalex.org/W2736191430","https://openalex.org/W2756359791","https://openalex.org/W2759690896","https://openalex.org/W2770265759","https://openalex.org/W2783861183","https://openalex.org/W2802209927","https://openalex.org/W2805637662","https://openalex.org/W2890187623","https://openalex.org/W2891745995","https://openalex.org/W2892374186","https://openalex.org/W2901850888","https://openalex.org/W2939208482","https://openalex.org/W2975262648","https://openalex.org/W2979835548","https://openalex.org/W2986502858","https://openalex.org/W2990127528","https://openalex.org/W2995842712","https://openalex.org/W3001869580","https://openalex.org/W3004790966","https://openalex.org/W3005923092","https://openalex.org/W3010246639","https://openalex.org/W3011146004","https://openalex.org/W3012400554","https://openalex.org/W6632100814","https://openalex.org/W6675128902","https://openalex.org/W6768229308","https://openalex.org/W7030055075"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W3158157485","https://openalex.org/W2243550366","https://openalex.org/W2789124470","https://openalex.org/W3000407446","https://openalex.org/W2116531472","https://openalex.org/W2103550798"],"abstract_inverted_index":{"Recognizing":[0],"human":[1],"physical":[2,39,59,85],"activities":[3,60,95],"from":[4,102],"streaming":[5],"smartphone":[6,65],"sensor":[7],"readings":[8],"is":[9,22,198],"essential":[10],"for":[11,153],"the":[12,25,32,64,71,79,82,100,114,117,123,134,143,158,161,165,203],"successful":[13],"realization":[14],"of":[15,24,50,63,75,78,84,92,147,150,160],"a":[16,139,179],"smart":[17,36],"environment.":[18],"Physical":[19],"activity":[20,40,154],"recognition":[21,41,49,83],"one":[23],"active":[26],"research":[27],"topics":[28],"to":[29,57,112,133],"provide":[30,178],"users":[31],"adaptive":[33],"services":[34],"using":[35,61,99],"devices.":[37],"Existing":[38],"methods":[42],"lack":[43],"in":[44,81,121],"providing":[45],"fast":[46],"and":[47,73,120,137,145,168,177],"accurate":[48],"activities.":[51,86,124],"This":[52],"paper":[53],"proposes":[54],"an":[55,151],"approach":[56,127,167,187],"recognize":[58],"only2-axes":[62],"accelerometer":[66,80,101,152],"sensor.":[67],"It":[68],"also":[69,176],"investigates":[70],"effectiveness":[72,144],"contribution":[74,146],"each":[76,148],"axis":[77,149],"To":[87,156],"implement":[88],"our":[89],"approach,":[90],"data":[91],"daily":[93],"life":[94],"are":[96,110],"collected":[97,118],"labeled":[98],"12":[103],"participants.":[104],"Furthermore,":[105],"three":[106],"machine":[107],"learning":[108],"classifiers":[109],"implemented":[111],"train":[113],"model":[115],"on":[116,170],"dataset":[119,174],"predicting":[122],"Our":[125],"proposed":[126,166,186],"provides":[128],"more":[129],"promising":[130],"results":[131],"compared":[132],"existing":[135,204],"techniques":[136],"presents":[138],"strong":[140],"rationale":[141],"behind":[142],"recognition.":[155],"ensure":[157],"reliability":[159],"model,":[162],"we":[163],"evaluate":[164],"observations":[169],"standard":[171],"publicly":[172],"available":[173],"WISDM":[175],"comparative":[180],"analysis":[181],"with":[182,192],"state-of-the-art":[183],"studies.":[184],"The":[185],"achieved":[188],"93%":[189],"weighted":[190],"accuracy":[191],"Multilayer":[193],"Perceptron":[194],"(MLP)":[195],"classifier,":[196],"which":[197],"almost":[199],"13%":[200],"higher":[201],"than":[202],"methods.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":40},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}