{"id":"https://openalex.org/W1986560378","doi":"https://doi.org/10.1109/bibm.2014.6999238","title":"A low power and high accuracy MEMS sensor based activity recognition algorithm","display_name":"A low power and high accuracy MEMS sensor based activity recognition algorithm","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W1986560378","doi":"https://doi.org/10.1109/bibm.2014.6999238","mag":"1986560378"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2014.6999238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083587090","display_name":"Shaolin Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaolin Weng","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University Xiamen, China","School of Information Science and Engineering, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025690716","display_name":"Luping Xiang","orcid":"https://orcid.org/0000-0003-1465-6708"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luping Xiang","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University Xiamen, China","School of Information Science and Engineering, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017227465","display_name":"Weiwei Tang","orcid":"https://orcid.org/0000-0002-6694-3170"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Tang","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University Xiamen, China","School of Information Science and Engineering, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103325600","display_name":"Hui Yang","orcid":"https://orcid.org/0009-0005-1164-018X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Yang","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University Xiamen, China","School of Information Science and Engineering, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414946","display_name":"Lingxiang Zheng","orcid":"https://orcid.org/0000-0001-6281-5246"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingxiang Zheng","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University Xiamen, China","School of Information Science and Engineering, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772747","display_name":"Hai L\u00fc","orcid":"https://orcid.org/0000-0002-4212-3282"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Lu","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University Xiamen, China","School of Information Science and Engineering, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024401909","display_name":"Huiru Zheng","orcid":"https://orcid.org/0000-0001-7648-8709"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huiru Zheng","raw_affiliation_strings":["School of Computing and Mathematics, University of Ulster, Newtown Abbey","School of Computing and Mathematics, University of Ulster, Jordanstown Campus, Shore Road, Newtown Abbey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, University of Ulster, Newtown Abbey","institution_ids":["https://openalex.org/I138801177"]},{"raw_affiliation_string":"School of Computing and Mathematics, University of Ulster, Jordanstown Campus, Shore Road, Newtown Abbey","institution_ids":["https://openalex.org/I138801177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2249,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.90056424,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994999766349792,"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":0.9994999766349792,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9858999848365784,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.982699990272522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.758783221244812},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6810234189033508},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6126804351806641},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5692644119262695},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.5445977449417114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5430814623832703},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5367909669876099},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4936860501766205},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4868711531162262},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48596107959747314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4014607071876526},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39495301246643066},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2335006594657898},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.14906901121139526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.758783221244812},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6810234189033508},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6126804351806641},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5692644119262695},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.5445977449417114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5430814623832703},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5367909669876099},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4936860501766205},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4868711531162262},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48596107959747314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4014607071876526},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39495301246643066},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2335006594657898},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.14906901121139526},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2014.6999238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1557944360","https://openalex.org/W1966455806","https://openalex.org/W2017634428","https://openalex.org/W2078908559","https://openalex.org/W2105046342","https://openalex.org/W2134751203","https://openalex.org/W2146806511","https://openalex.org/W2155268664","https://openalex.org/W2207642662","https://openalex.org/W2320838018","https://openalex.org/W2369800222","https://openalex.org/W2374765503","https://openalex.org/W2394448887","https://openalex.org/W4239510810","https://openalex.org/W6633464624"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W2281498195","https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2017526120","https://openalex.org/W2104657898","https://openalex.org/W2610664080","https://openalex.org/W3105278570","https://openalex.org/W2117913171","https://openalex.org/W2582769230"],"abstract_inverted_index":{"Wearable":[0],"sensors":[1,84],"and":[2,12,115],"smart":[3],"phones":[4],"have":[5,45],"been":[6,46],"used":[7],"in":[8,85,117,142],"human":[9,110],"activity":[10,31,143],"recognitions":[11],"can":[13,35,122,131],"achieve":[14,36],"relative":[15],"high":[16,37,139],"accuracy":[17,38,108,141],"however":[18],"the":[19,50,58,67,76,97,105,128,134],"power":[20,41,51],"consumption":[21],"is":[22,56,73],"also":[23],"high.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28],"propose":[29],"an":[30],"recognition":[32,107],"approach":[33,130],"that":[34,104,127],"with":[39],"low":[40,86],"consumption.":[42,52],"Two":[43],"strategies":[44],"applied":[47],"to":[48,65,74],"reduce":[49,66,75],"The":[53,70,100],"first":[54],"strategy":[55,72],"using":[57,91],"hierarchical":[59],"support":[60],"vector":[61],"machine":[62],"classification":[63],"algorithm":[64],"computational":[68],"complexity.":[69],"second":[71],"sensor":[77],"data":[78],"sampling":[79,87,120],"rates.":[80],"Data":[81],"collected":[82],"from":[83],"rate":[88,121],"were":[89],"processed":[90],"a":[92],"wider":[93],"time":[94],"window":[95],"for":[96],"feature":[98],"extraction.":[99],"experiment":[101],"results":[102],"show":[103],"average":[106],"of":[109],"activities":[111],"(sitting,":[112],"standing,":[113],"walking,":[114],"running)":[116],"1":[118],"Hz":[119],"reach":[123],"98.50%.":[124],"It":[125],"indicates":[126],"proposed":[129],"effectively":[132],"extend":[133],"battery":[135],"lifetime":[136],"while":[137],"maintaining":[138],"prediction":[140],"recognition.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}