{"id":"https://openalex.org/W2169239892","doi":"https://doi.org/10.1109/icpr.2008.4761688","title":"Weightlessness feature — a novel feature for single tri-axial accelerometer based activity recognition","display_name":"Weightlessness feature — a novel feature for single tri-axial accelerometer based activity recognition","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2169239892","doi":"https://doi.org/10.1109/icpr.2008.4761688","mag":"2169239892"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761688","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5100740564","display_name":"Zhenyu He","orcid":"https://orcid.org/0000-0002-2546-8721"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenyu He","raw_affiliation_strings":["School of Elec. & Info. Eng., South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Elec. & Info. Eng., South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100692735","display_name":"Zhibin Liu","orcid":"https://orcid.org/0000-0003-2053-5136"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Liu","raw_affiliation_strings":["School of Elec. & Info. Eng., South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Elec. & Info. Eng., South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080674767","display_name":"Lianwen Jin","orcid":"https://orcid.org/0000-0002-5456-0957"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianwen Jin","raw_affiliation_strings":["School of Elec. & Info. Eng., South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Elec. & Info. Eng., South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054366826","display_name":"Li-Xin Zhen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li-Xin Zhen","raw_affiliation_strings":["Motorola China Research Center, ShangHai, China"],"affiliations":[{"raw_affiliation_string":"Motorola China Research Center, ShangHai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034551256","display_name":"Jiancheng Huang","orcid":"https://orcid.org/0000-0003-2516-088X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian-Cheng Huang","raw_affiliation_strings":["Motorola China Research Center, ShangHai, China"],"affiliations":[{"raw_affiliation_string":"Motorola China Research Center, ShangHai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100740564"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":4.6164,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.96180371,"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":"1","last_page":"4"},"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":0.9957000017166138,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.914211094379425},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7307252287864685},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.727184534072876},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6923062801361084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6186811923980713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6124371290206909},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5838425755500793},{"id":"https://openalex.org/keywords/weightlessness","display_name":"Weightlessness","score":0.5705476999282837},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5496573448181152},{"id":"https://openalex.org/keywords/gravitational-acceleration","display_name":"Gravitational acceleration","score":0.5388732552528381},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5016655921936035},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46930602192878723},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4484555125236511},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4329669177532196},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4112131595611572},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1755473017692566},{"id":"https://openalex.org/keywords/gravitational-field","display_name":"Gravitational field","score":0.1542167067527771},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14582675695419312}],"concepts":[{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.914211094379425},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7307252287864685},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.727184534072876},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6923062801361084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6186811923980713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6124371290206909},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5838425755500793},{"id":"https://openalex.org/C37752432","wikidata":"https://www.wikidata.org/wiki/Q4299309","display_name":"Weightlessness","level":2,"score":0.5705476999282837},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5496573448181152},{"id":"https://openalex.org/C71976986","wikidata":"https://www.wikidata.org/wiki/Q30006","display_name":"Gravitational acceleration","level":3,"score":0.5388732552528381},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5016655921936035},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46930602192878723},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4484555125236511},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4329669177532196},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4112131595611572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1755473017692566},{"id":"https://openalex.org/C14257148","wikidata":"https://www.wikidata.org/wiki/Q558066","display_name":"Gravitational field","level":2,"score":0.1542167067527771},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14582675695419312},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2008.4761688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761688","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6600000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323059","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W98188630","https://openalex.org/W1762028752","https://openalex.org/W1979613719","https://openalex.org/W2035877237","https://openalex.org/W2105046342","https://openalex.org/W2106369625","https://openalex.org/W2129480985","https://openalex.org/W2156909104","https://openalex.org/W2536193977","https://openalex.org/W2545834272","https://openalex.org/W4230674625"],"related_works":["https://openalex.org/W2922015049","https://openalex.org/W1985942433","https://openalex.org/W2059495604","https://openalex.org/W2046521884","https://openalex.org/W2941671187","https://openalex.org/W3009590127","https://openalex.org/W4252716616","https://openalex.org/W2127793805","https://openalex.org/W2402429135","https://openalex.org/W2001570480"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,11],"novel":[4],"weightlessness":[5,57],"feature":[6,58],"for":[7,65,131],"activity":[8,66],"recognition":[9],"from":[10],"tri-axial":[12],"acceleration":[13,109],"signals":[14],"have":[15],"been":[16],"proposed.":[17],"Since":[18],"the":[19,39,48,70,86,115],"orientation":[20],"between":[21],"accelerometer":[22,44],"and":[23,56,106,127],"userpsilas":[24],"body":[25],"may":[26],"continuously":[27],"change":[28],"when":[29],"user":[30],"perform":[31],"activities,":[32],"we":[33],"propose":[34],"an":[35],"algorithm":[36],"to":[37,59,121],"calibrate":[38],"actual":[40],"vertical":[41],"direction":[42],"of":[43,54,69,82,108,134],"signal":[45,55],"through":[46],"estimating":[47],"gravitational":[49],"direction.":[50],"We":[51],"combine":[52],"peaks":[53],"produce":[60],"six":[61],"dimensional":[62],"weightlessness-based":[63,88],"features":[64,89,101,117],"recognition.":[67],"Classification":[68],"activities":[71,84,126],"is":[72,90],"performed":[73],"with":[74],"Support":[75],"Vector":[76],"Machine":[77],"(SVM).":[78],"The":[79],"average":[80],"accuracy":[81],"four":[83],"using":[85,96],"proposed":[87],"97.21%,":[91],"which":[92],"are":[93,129],"better":[94],"than":[95],"traditional":[97],"widely":[98],"used":[99,120],"time-domains":[100],"(mean,":[102],"standard":[103],"deviation,":[104],"energy":[105],"correlation":[107],"data).":[110],"Experimental":[111],"results":[112],"show":[113],"that":[114],"new":[116],"can":[118],"be":[119],"effectively":[122],"recognize":[123],"different":[124,132],"human":[125],"they":[128],"robust":[130],"location":[133],"accelerometer.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}