{"id":"https://openalex.org/W2548369006","doi":"https://doi.org/10.1145/2993422.2993576","title":"WalkSense","display_name":"WalkSense","publication_year":2016,"publication_date":"2016-11-02","ids":{"openalex":"https://openalex.org/W2548369006","doi":"https://doi.org/10.1145/2993422.2993576","mag":"2548369006"},"language":"en","primary_location":{"id":"doi:10.1145/2993422.2993576","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2993422.2993576","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2993576&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2993576&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013397059","display_name":"Elahe Soltanaghaei","orcid":null},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elahe Soltanaghaei","raw_affiliation_strings":["University of Virginia, Charlottesville, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044125386","display_name":"Kamin Whitehouse","orcid":null},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamin Whitehouse","raw_affiliation_strings":["University of Virginia, Charlottesville, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":2.604,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.90617634,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9994000196456909,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9940999746322632,"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":0.9911999702453613,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.8893402814865112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7158026099205017},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.6483733057975769},{"id":"https://openalex.org/keywords/hvac","display_name":"HVAC","score":0.5514119267463684},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.43008798360824585},{"id":"https://openalex.org/keywords/motion-sensors","display_name":"Motion sensors","score":0.420584499835968},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3325123190879822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.292361855506897},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14807090163230896},{"id":"https://openalex.org/keywords/architectural-engineering","display_name":"Architectural engineering","score":0.12979701161384583},{"id":"https://openalex.org/keywords/air-conditioning","display_name":"Air conditioning","score":0.09289559721946716}],"concepts":[{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.8893402814865112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7158026099205017},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6483733057975769},{"id":"https://openalex.org/C122346748","wikidata":"https://www.wikidata.org/wiki/Q1798773","display_name":"HVAC","level":3,"score":0.5514119267463684},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.43008798360824585},{"id":"https://openalex.org/C2986565385","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion sensors","level":2,"score":0.420584499835968},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3325123190879822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.292361855506897},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14807090163230896},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.12979701161384583},{"id":"https://openalex.org/C103742991","wikidata":"https://www.wikidata.org/wiki/Q173725","display_name":"Air conditioning","level":2,"score":0.09289559721946716},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2993422.2993576","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2993422.2993576","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2993576&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2993422.2993576","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2993422.2993576","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2993576&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G4883107021","display_name":"II-NEW: The BetaHome Network: A Multi-Home Testbed for Smart Building Technology","funder_award_id":"1305362","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2548369006.pdf","grobid_xml":"https://content.openalex.org/works/W2548369006.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W66477288","https://openalex.org/W114300356","https://openalex.org/W1584701184","https://openalex.org/W1784994949","https://openalex.org/W1922742444","https://openalex.org/W1972440681","https://openalex.org/W1984753297","https://openalex.org/W1988545169","https://openalex.org/W2011909452","https://openalex.org/W2021361613","https://openalex.org/W2023346859","https://openalex.org/W2057105676","https://openalex.org/W2066238811","https://openalex.org/W2069872789","https://openalex.org/W2082874195","https://openalex.org/W2096667387","https://openalex.org/W2112841646","https://openalex.org/W2115873741","https://openalex.org/W2129275295","https://openalex.org/W2131353345","https://openalex.org/W2135090840","https://openalex.org/W2163239971","https://openalex.org/W2289645666","https://openalex.org/W3015389207"],"related_works":["https://openalex.org/W4282043467","https://openalex.org/W2105697914","https://openalex.org/W2112866972","https://openalex.org/W3045934583","https://openalex.org/W2437015738","https://openalex.org/W4312641736","https://openalex.org/W4283833227","https://openalex.org/W3093054803","https://openalex.org/W2016713803","https://openalex.org/W2898819227"],"abstract_inverted_index":{"Home":[0],"automation":[1],"systems":[2],"can":[3,41,107],"save":[4],"a":[5,35,49,88,95],"huge":[6],"amount":[7],"of":[8,37,125,153,161],"energy":[9,155],"by":[10,34],"detecting":[11],"home":[12],"occupancy":[13,45,68,104],"and":[14,22,74,81,94,113,136,142,151,157,159,173],"sleep":[15],"patterns":[16],"to":[17,28,101,148,169],"automatically":[18],"control":[19],"lights,":[20],"HVAC,":[21],"water":[23],"heating.":[24],"However,":[25],"the":[26,57,170],"ability":[27],"achieve":[29],"these":[30],"benefits":[31],"is":[32],"limited":[33],"lack":[36],"sensing":[38],"technology":[39],"that":[40,59,132],"reliably":[42],"detect":[43],"zone":[44,103],"states.":[46,105],"We":[47,86,117],"present":[48,87],"new":[50],"concept":[51],"called":[52,99],"Walkway":[53],"Sensing":[54],"based":[55],"on":[56,121],"premise":[58],"motion":[60,92],"sensors":[61,93],"are":[62,78],"more":[63],"reliable":[64],"in":[65,84,109,140,167],"walkways":[66],"than":[67],"zones,":[69],"such":[70],"as":[71],"hallways,":[72],"foyers,":[73],"doorways,":[75],"because":[76],"people":[77],"always":[79,82],"moving":[80],"visible":[83],"walkways.":[85],"methodology":[89],"for":[90],"deploying":[91],"completely":[96],"automated":[97],"algorithm":[98],"WalkSense":[100,106,133],"infer":[102],"operate":[108],"both":[110],"offline":[111,141,172],"(batch)":[112],"online":[114,143,174],"(real-time)":[115],"mode.":[116],"evaluate":[118],"our":[119],"system":[120],"350":[122],"days":[123],"worth":[124],"data":[126],"from":[127],"6":[128],"houses.":[129],"Results":[130],"indicate":[131],"achieves":[134],"96%":[135],"95%":[137],"average":[138],"accuracies":[139],"modes,":[144],"respectively,":[145],"which":[146],"translates":[147],"over":[149],"47%":[150],"30%":[152,160],"reduced":[154,162],"wastage,":[156],"71%":[158],"comfort":[163],"issues":[164],"per":[165],"day,":[166],"comparison":[168],"conventional":[171],"approaches.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":8}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2016-11-11T00:00:00"}
