{"id":"https://openalex.org/W3015629810","doi":"https://doi.org/10.3390/s20082189","title":"An Activity-Aware Sampling Scheme for Mobile Phones in Activity Recognition","display_name":"An Activity-Aware Sampling Scheme for Mobile Phones in Activity Recognition","publication_year":2020,"publication_date":"2020-04-13","ids":{"openalex":"https://openalex.org/W3015629810","doi":"https://doi.org/10.3390/s20082189","mag":"3015629810","pmid":"https://pubmed.ncbi.nlm.nih.gov/32294935"},"language":"en","primary_location":{"id":"doi:10.3390/s20082189","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20082189","pdf_url":"https://www.mdpi.com/1424-8220/20/8/2189/pdf?version=1586776088","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/1424-8220/20/8/2189/pdf?version=1586776088","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100382187","display_name":"Zhimin Chen","orcid":"https://orcid.org/0000-0001-8477-3163"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhimin Chen","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379141","display_name":"Jianxin Chen","orcid":"https://orcid.org/0000-0001-8519-4462"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianxin Chen","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014101320","display_name":"Xiangjun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjun Huang","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100379141"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.2885,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.53082481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"20","issue":"8","first_page":"2189","last_page":"2189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":1.0,"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":1.0,"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/T12238","display_name":"Green IT and Sustainability","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9858999848365784,"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/activity-recognition","display_name":"Activity recognition","score":0.8338003754615784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7084186673164368},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6770410537719727},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5346943736076355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5258337259292603},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5111001133918762},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47762173414230347},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46717485785484314},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4569963812828064},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.45396244525909424},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44363173842430115},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.41417139768600464},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4110231399536133},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3858437240123749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.13215288519859314},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09342551231384277},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07876607775688171},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07389581203460693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06645062565803528}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.8338003754615784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7084186673164368},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6770410537719727},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5346943736076355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5258337259292603},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5111001133918762},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47762173414230347},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46717485785484314},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4569963812828064},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.45396244525909424},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44363173842430115},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41417139768600464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4110231399536133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3858437240123749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.13215288519859314},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09342551231384277},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07876607775688171},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07389581203460693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06645062565803528},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"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":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","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":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","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":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","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":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","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/s20082189","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20082189","pdf_url":"https://www.mdpi.com/1424-8220/20/8/2189/pdf?version=1586776088","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:32294935","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32294935","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:5c2804ae00c04b5bb321701df412beba","is_oa":true,"landing_page_url":"https://doaj.org/article/5c2804ae00c04b5bb321701df412beba","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 2189 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/8/2189/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20082189","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:7218853","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7218853","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/s20082189","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20082189","pdf_url":"https://www.mdpi.com/1424-8220/20/8/2189/pdf?version=1586776088","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":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[{"id":"https://openalex.org/G7539032247","display_name":null,"funder_award_id":"JZNY201704","funder_id":"https://openalex.org/F4320323268","funder_display_name":"Nanjing University of Posts and Telecommunications"},{"id":"https://openalex.org/G7705719643","display_name":null,"funder_award_id":"NY218014","funder_id":"https://openalex.org/F4320323268","funder_display_name":"Nanjing University of Posts and Telecommunications"},{"id":"https://openalex.org/G8872291959","display_name":null,"funder_award_id":"NY217021","funder_id":"https://openalex.org/F4320323268","funder_display_name":"Nanjing University of Posts and Telecommunications"}],"funders":[{"id":"https://openalex.org/F4320323268","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34"},{"id":"https://openalex.org/F4320324852","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3015629810.pdf","grobid_xml":"https://content.openalex.org/works/W3015629810.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W82044129","https://openalex.org/W134960717","https://openalex.org/W1551782597","https://openalex.org/W1857382374","https://openalex.org/W1976552421","https://openalex.org/W1987300764","https://openalex.org/W1994267825","https://openalex.org/W2000903108","https://openalex.org/W2018569461","https://openalex.org/W2035877237","https://openalex.org/W2054780155","https://openalex.org/W2064327970","https://openalex.org/W2094523840","https://openalex.org/W2105046342","https://openalex.org/W2132417948","https://openalex.org/W2146806511","https://openalex.org/W2200813474","https://openalex.org/W2316564986","https://openalex.org/W2338565696","https://openalex.org/W2342792048","https://openalex.org/W2578039582","https://openalex.org/W2594116048","https://openalex.org/W2623595444","https://openalex.org/W2736191430","https://openalex.org/W2737035606","https://openalex.org/W2759690896","https://openalex.org/W2765589505","https://openalex.org/W2783861183","https://openalex.org/W2805824867","https://openalex.org/W2901126191","https://openalex.org/W2901713071","https://openalex.org/W2902900517","https://openalex.org/W2905170803","https://openalex.org/W2952181509","https://openalex.org/W2952587893","https://openalex.org/W2963434542","https://openalex.org/W2977731809","https://openalex.org/W2980821255","https://openalex.org/W6633912811","https://openalex.org/W6704081230"],"related_works":["https://openalex.org/W4402452563","https://openalex.org/W3195649134","https://openalex.org/W2250488071","https://openalex.org/W2281498195","https://openalex.org/W2356150353","https://openalex.org/W2018643641","https://openalex.org/W2380744779","https://openalex.org/W2967867994","https://openalex.org/W2469878540","https://openalex.org/W2565094479"],"abstract_inverted_index":{"In":[0,46],"recent":[1],"years,":[2],"sensors":[3,63],"in":[4,10,39],"smartphones":[5,54],"have":[6],"been":[7],"widely":[8],"used":[9],"applications,":[11],"e.g.,":[12],"human":[13],"activity":[14,74,99],"recognition":[15,124],"(HAR).":[16],"However,":[17],"the":[18,23,29,40,58,62,68,73,78,92,106,123,129],"power":[19],"of":[20,25,42,61,80,109,119,126],"smartphone":[21],"constrains":[22],"applications":[24,41,131],"HAR":[26,43,130],"due":[27],"to":[28,90],"computations.":[30],"To":[31],"combat":[32],"it,":[33],"energy":[34,51,120],"efficiency":[35,52],"should":[36],"be":[37],"considered":[38],"with":[44,132],"smartphones.":[45],"this":[47],"paper,":[48],"we":[49,84],"improve":[50],"for":[53,98],"by":[55],"adaptively":[56],"controlling":[57],"sampling":[59],"rate":[60],"during":[64,128],"HAR.":[65],"We":[66],"collect":[67],"sensor":[69],"samples,":[70],"depending":[71],"on":[72,77,105],"changing,":[75],"based":[76],"magnitude":[79],"acceleration.":[81],"Besides":[82],"that,":[83],"use":[85],"linear":[86],"discriminant":[87],"analysis":[88],"(LDA)":[89],"select":[91],"feature":[93],"and":[94,113,122],"machine":[95],"learning":[96],"methods":[97],"classification.":[100],"Our":[101],"method":[102],"is":[103],"verified":[104],"UCI":[107],"(University":[108],"California,":[110],"Irvine)":[111],"dataset;":[112],"it":[114],"achieves":[115],"an":[116],"overall":[117],"56.39%":[118],"saving":[121],"accuracy":[125],"99.58%":[127],"smartphone.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
