{"id":"https://openalex.org/W1572730394","doi":"https://doi.org/10.1109/percomw.2015.7134062","title":"A method for recognizing living activities in homes using positioning sensor and power meters","display_name":"A method for recognizing living activities in homes using positioning sensor and power meters","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W1572730394","doi":"https://doi.org/10.1109/percomw.2015.7134062","mag":"1572730394"},"language":"en","primary_location":{"id":"doi:10.1109/percomw.2015.7134062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2015.7134062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036975841","display_name":"Kenki Ueda","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenki Ueda","raw_affiliation_strings":["Nara Institute of Science and Technology, Nara, Japan","Nara Institute of Science and Technology 8916-5 Takayama, Ikoma, Nara, 630-0192 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Nara Institute of Science and Technology 8916-5 Takayama, Ikoma, Nara, 630-0192 Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024754933","display_name":"Morihiko Tamai","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Morihiko Tamai","raw_affiliation_strings":["Nara Institute of Science and Technology, Nara, Japan","Nara Institute of Science and Technology 8916-5 Takayama, Ikoma, Nara, 630-0192 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Nara Institute of Science and Technology 8916-5 Takayama, Ikoma, Nara, 630-0192 Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019740585","display_name":"Keiichi Yasumoto","orcid":"https://orcid.org/0000-0003-1579-3237"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiichi Yasumoto","raw_affiliation_strings":["Nara Institute of Science and Technology, Nara, Japan","Nara Institute of Science and Technology 8916-5 Takayama, Ikoma, Nara, 630-0192 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Nara Institute of Science and Technology 8916-5 Takayama, Ikoma, Nara, 630-0192 Japan","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75917431"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"354","last_page":"359"},"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9934999942779541,"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":0.9918000102043152,"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":0.7966489791870117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6800053715705872},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6679637432098389},{"id":"https://openalex.org/keywords/activities-of-daily-living","display_name":"Activities of daily living","score":0.5174851417541504},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5107243061065674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5050697922706604},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4989950656890869},{"id":"https://openalex.org/keywords/home-automation","display_name":"Home automation","score":0.49732473492622375},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4474145472049713},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4360940456390381},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.43022939562797546},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33262577652931213},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.20556706190109253},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09018981456756592}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7966489791870117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6800053715705872},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6679637432098389},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.5174851417541504},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5107243061065674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5050697922706604},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4989950656890869},{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.49732473492622375},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4474145472049713},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4360940456390381},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43022939562797546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33262577652931213},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.20556706190109253},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09018981456756592},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomw.2015.7134062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2015.7134062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W166064277","https://openalex.org/W1966362008","https://openalex.org/W1986847617","https://openalex.org/W2054780155","https://openalex.org/W2096667387","https://openalex.org/W2105046342","https://openalex.org/W2109347872","https://openalex.org/W2114977530","https://openalex.org/W2117811484","https://openalex.org/W2136431085","https://openalex.org/W2139271825","https://openalex.org/W2157261706","https://openalex.org/W6606810055","https://openalex.org/W6675583992"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W2980701909","https://openalex.org/W3003171896","https://openalex.org/W3105278570","https://openalex.org/W2117913171","https://openalex.org/W2582769230","https://openalex.org/W2989668789","https://openalex.org/W2059102265","https://openalex.org/W4312127264","https://openalex.org/W2474529778"],"abstract_inverted_index":{"To":[0,136],"realize":[1],"smart":[2,253],"homes":[3,13,24,122],"with":[4,265],"sophisticated":[5],"services":[6],"including":[7],"energy-saving":[8],"context-aware":[9],"appliance":[10],"control":[11],"in":[12,23,104,121,251],"and":[14,90,130,159,192,198,239,270],"elderly":[15],"monitoring":[16],"systems,":[17],"automatic":[18],"recognition":[19,30,71,99,144,219],"of":[20,39,58,61,66,100,156,173,267,272],"human":[21,84],"activities":[22,85,103,120,227,264],"is":[25,92],"essential.":[26],"Several":[27],"daily":[28,119],"activity":[29,70,218],"methods":[31,72,97],"have":[32,42,76,147],"been":[33,77],"proposed":[34,244],"so":[35],"far,":[36],"but":[37,79],"most":[38],"them":[40],"still":[41],"issues":[43],"to":[44,53,64,94,134,163,168,215,246],"be":[45],"solved":[46],"such":[47],"as":[48,206],"high":[49],"deployment":[50],"cost":[51],"due":[52,63],"many":[54,69],"sensors":[55,75,126],"and/or":[56],"violation":[57],"users'":[59],"feeling":[60],"privacy":[62],"use":[65,95],"cameras.":[67],"Moreover,":[68],"using":[73,123],"wearable":[74],"proposed,":[78],"they":[80],"focus":[81],"on":[82],"simple":[83],"like":[86],"walking,":[87],"running,":[88],"etc.":[89],"it":[91],"difficult":[93],"these":[96],"for":[98,116,141,194],"various":[101,118],"complex":[102],"homes.":[105],"In":[106],"this":[107],"paper,":[108],"we":[109,146,241],"propose":[110],"a":[111,143,149,153,161,169,188,203,231,235,252,257],"machine":[112,222],"learning":[113],"based":[114],"method":[115,245,260],"recognizing":[117],"only":[124],"positioning":[125],"equipped":[127],"by":[128,181,187,221],"inhabitants":[129],"power":[131,199],"meters":[132],"attached":[133],"appliances.":[135],"efficiently":[137],"collect":[138],"training":[139,179,185],"data":[140,158,186,249],"constructing":[142],"model,":[145],"developed":[148],"tool":[150],"which":[151],"visualizes":[152],"time":[154,171,190,204],"series":[155],"sensor":[157,175,248],"facilitates":[160],"user":[162],"put":[164],"labels":[165],"(activity":[166],"types)":[167],"specified":[170],"interval":[172],"the":[174,183,210,247],"data.":[176],"We":[177],"obtain":[178],"samples":[180,212],"dividing":[182],"extracted":[184],"fixed":[189],"window":[191,205],"calculating":[193],"each":[195],"sample":[196],"position":[197],"consumptions":[200],"averaged":[201],"over":[202],"feature":[207],"values.":[208],"Then,":[209],"obtained":[211],"are":[213],"used":[214],"construct":[216],"an":[217],"model":[220],"learning.":[223],"Targeting":[224],"six":[225],"different":[226,263],"(watching":[228],"TV,":[229],"taking":[230],"meal,":[232],"cooking,":[233],"reading":[234],"book,":[236],"washing":[237],"dishes,":[238],"other),":[240],"applied":[242],"our":[243,259],"collected":[250],"home":[254],"testbed.":[255],"As":[256],"result,":[258],"recognized":[261],"6":[262],"precision":[266],"about":[268,273],"85%":[269],"recall":[271],"82%.":[274]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
