{"id":"https://openalex.org/W2496233722","doi":"https://doi.org/10.1109/infocom.2016.7524359","title":"Demultiplexing activities of daily living in IoT enabled smarthomes","display_name":"Demultiplexing activities of daily living in IoT enabled smarthomes","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2496233722","doi":"https://doi.org/10.1109/infocom.2016.7524359","mag":"2496233722"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2016.7524359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2016.7524359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications","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/A5021352016","display_name":"Palanivel Kodeswaran","orcid":"https://orcid.org/0009-0008-6096-1045"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Palanivel Kodeswaran","raw_affiliation_strings":["IBM Research, Bangalore"],"affiliations":[{"raw_affiliation_string":"IBM Research, Bangalore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111996026","display_name":"Ravindranath Kokku","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ravindranath Kokku","raw_affiliation_strings":["IBM Research, Bangalore"],"affiliations":[{"raw_affiliation_string":"IBM Research, Bangalore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079780759","display_name":"Madhumita Mallick","orcid":"https://orcid.org/0000-0003-1256-0737"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]},{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Madhumita Mallick","raw_affiliation_strings":["Indian Institute of Technology, Kharagpur","Work done as part of summer internship in IBM Research, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Work done as part of summer internship in IBM Research, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103157823","display_name":"Sayandeep Sen","orcid":"https://orcid.org/0000-0003-3791-3842"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sayandeep Sen","raw_affiliation_strings":["IBM Research, Bangalore"],"affiliations":[{"raw_affiliation_string":"IBM Research, Bangalore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021352016"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5071,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95363083,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9884999990463257,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7294365763664246},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7050198316574097},{"id":"https://openalex.org/keywords/activity-detection","display_name":"Activity detection","score":0.6705073714256287},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6357647776603699},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.63338303565979},{"id":"https://openalex.org/keywords/activities-of-daily-living","display_name":"Activities of daily living","score":0.6328726410865784},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6285216808319092},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.587996244430542},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.5789850354194641},{"id":"https://openalex.org/keywords/assisted-living","display_name":"Assisted living","score":0.4637969136238098},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.45800280570983887},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.45008203387260437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4396432638168335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37591251730918884},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2406926453113556},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12897443771362305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294365763664246},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7050198316574097},{"id":"https://openalex.org/C2988656282","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity detection","level":2,"score":0.6705073714256287},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6357647776603699},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.63338303565979},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.6328726410865784},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6285216808319092},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.587996244430542},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.5789850354194641},{"id":"https://openalex.org/C3018552312","wikidata":"https://www.wikidata.org/wiki/Q315412","display_name":"Assisted living","level":2,"score":0.4637969136238098},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45800280570983887},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.45008203387260437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4396432638168335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37591251730918884},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2406926453113556},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12897443771362305},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2016.7524359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2016.7524359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1498238238","https://openalex.org/W1969307352","https://openalex.org/W1997718099","https://openalex.org/W2002673464","https://openalex.org/W2003307570","https://openalex.org/W2025361447","https://openalex.org/W2036266947","https://openalex.org/W2060047145","https://openalex.org/W2106314276","https://openalex.org/W2128332586","https://openalex.org/W2130707402","https://openalex.org/W2133049755","https://openalex.org/W2138460198","https://openalex.org/W2165115508","https://openalex.org/W2187841307","https://openalex.org/W2374851894","https://openalex.org/W4285719527","https://openalex.org/W6659427999","https://openalex.org/W6680586470"],"related_works":["https://openalex.org/W2945490067","https://openalex.org/W1579566807","https://openalex.org/W1464901939","https://openalex.org/W2989668789","https://openalex.org/W4312127264","https://openalex.org/W3184212333","https://openalex.org/W2889810448","https://openalex.org/W4312401170","https://openalex.org/W1556801288","https://openalex.org/W2279827266"],"abstract_inverted_index":{"Powered":[0],"by":[1,61,106],"the":[2,5,25,28,31,102,109,159],"emergence":[3],"of":[4,7,14,27,33,47,76,114,158],"Internet":[6],"Things,":[8],"smart":[9],"homes":[10],"containing":[11],"a":[12,86,94,119,133,152],"variety":[13],"sensors":[15],"and":[16,22,37,56,151],"actuators":[17],"are":[18],"expected":[19],"to":[20,24,118,124,131],"monitor":[21],"react":[23],"activities":[26],"residents":[29],"with":[30],"goal":[32],"improving":[34],"convenience,":[35],"comfort":[36],"safety.":[38],"However,":[39],"in":[40,69],"typical":[41],"home":[42],"settings,":[43],"each":[44,57],"human":[45],"Activity":[46],"Daily":[48],"Living":[49],"(ADL)":[50],"generates":[51],"events":[52],"from":[53],"multiple":[54,62],"sensors,":[55],"sensor":[58],"is":[59],"triggered":[60],"ADLs.":[63],"Consequently,":[64],"achieving":[65],"high":[66],"detection":[67,154],"accuracy":[68,155],"these":[70],"complex":[71,87],"environments":[72],"requires":[73],"large":[74],"amounts":[75],"training":[77],"data":[78,95],"for":[79],"every":[80],"possible":[81],"multiplexing":[82],"scenario,":[83],"making":[84],"it":[85],"problem.":[88],"In":[89],"this":[90],"paper,":[91],"we":[92],"propose":[93],"driven":[96],"three-step":[97],"de-multiplexing":[98],"approach":[99,145],"that":[100,143],"simplifies":[101],"ADL":[103],"recognition":[104],"problem":[105],"first":[107],"segmenting":[108],"event":[110],"stream":[111],"into":[112],"periods":[113],"interest,":[115],"before":[116],"feeding":[117],"classifier.":[120],"We":[121],"mine":[122],"datasets":[123,141],"identify":[125],"salient":[126],"features":[127],"which":[128],"allow":[129],"us":[130],"achieve":[132],"good":[134],"segmentation.":[135],"Extensive":[136],"evaluation":[137],"on":[138],"ten":[139],"public":[140],"shows":[142],"our":[144],"achieves":[146],"upto":[147],"77%":[148],"segmentation":[149],"accuracy,":[150],"activity":[153],"within":[156],"91%":[157],"best":[160],"possible.":[161]},"counts_by_year":[{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}