{"id":"https://openalex.org/W2170265372","doi":"https://doi.org/10.1145/1555816.1555835","title":"A framework of energy efficient mobile sensing for automatic user state recognition","display_name":"A framework of energy efficient mobile sensing for automatic user state recognition","publication_year":2009,"publication_date":"2009-06-22","ids":{"openalex":"https://openalex.org/W2170265372","doi":"https://doi.org/10.1145/1555816.1555835","mag":"2170265372"},"language":"en","primary_location":{"id":"doi:10.1145/1555816.1555835","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1555816.1555835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th international conference on Mobile systems, applications, and services","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/A5108047871","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0002-7743-1779"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yi Wang","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060067331","display_name":"Jialiu Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jialiu Lin","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018033573","display_name":"Murali Annavaram","orcid":"https://orcid.org/0000-0002-4633-6867"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murali Annavaram","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084148478","display_name":"Quinn Jacobson","orcid":"https://orcid.org/0009-0007-4768-1682"},"institutions":[{"id":"https://openalex.org/I173498003","display_name":"Palo Alto Research Center","ror":"https://ror.org/0529fxt39","country_code":"US","type":"facility","lineage":["https://openalex.org/I173498003","https://openalex.org/I4210132870"]},{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quinn A. Jacobson","raw_affiliation_strings":["Nokia Research Center, Palo Alto, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Research Center, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I173498003","https://openalex.org/I72090969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090310268","display_name":"Jason Hong","orcid":"https://orcid.org/0000-0002-9856-9654"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason Hong","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063784062","display_name":"Bhaskar Krishnamachari","orcid":"https://orcid.org/0000-0002-9994-9931"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhaskar Krishnamachari","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081563886","display_name":"Norman Sadeh","orcid":"https://orcid.org/0000-0003-4829-5533"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Norman Sadeh","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5108047871"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":43.9667,"has_fulltext":false,"cited_by_count":436,"citation_normalized_percentile":{"value":0.99883288,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"179","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9990000128746033,"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":0.9990000128746033,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12238","display_name":"Green IT and Sustainability","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7304521203041077},{"id":"https://openalex.org/keywords/participatory-sensing","display_name":"Participatory sensing","score":0.7063079476356506},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.6064708828926086},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.587672770023346},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.5096192359924316},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4586280882358551},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4367517828941345},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4196026623249054},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3963540494441986},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38362371921539307},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.35513120889663696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16816261410713196},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12181037664413452}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304521203041077},{"id":"https://openalex.org/C2779208394","wikidata":"https://www.wikidata.org/wiki/Q7140460","display_name":"Participatory sensing","level":2,"score":0.7063079476356506},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.6064708828926086},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.587672770023346},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.5096192359924316},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4586280882358551},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4367517828941345},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4196026623249054},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3963540494441986},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38362371921539307},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.35513120889663696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16816261410713196},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12181037664413452},{"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/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","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/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1555816.1555835","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1555816.1555835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th international conference on Mobile systems, applications, and services","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.207.9718","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.9718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/%7Ejasonh/publications/mobisys2009-energy-sensors-eemss-submitted.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1576835806","https://openalex.org/W1587612576","https://openalex.org/W1620668332","https://openalex.org/W1644895716","https://openalex.org/W1731839985","https://openalex.org/W1964396297","https://openalex.org/W1964678824","https://openalex.org/W1965596253","https://openalex.org/W1968482619","https://openalex.org/W2044223409","https://openalex.org/W2054308588","https://openalex.org/W2056943968","https://openalex.org/W2093582532","https://openalex.org/W2103151433","https://openalex.org/W2105046342","https://openalex.org/W2110685331","https://openalex.org/W2126236329","https://openalex.org/W2132391423","https://openalex.org/W2134751203","https://openalex.org/W2144169341","https://openalex.org/W2148857358","https://openalex.org/W2149708663","https://openalex.org/W2150383149","https://openalex.org/W2154664200","https://openalex.org/W2157057380","https://openalex.org/W2162343230","https://openalex.org/W2162555816","https://openalex.org/W2165901024","https://openalex.org/W2421080188","https://openalex.org/W2548335893","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2063769785","https://openalex.org/W1970299606","https://openalex.org/W2538233322","https://openalex.org/W2683657967","https://openalex.org/W2949507301","https://openalex.org/W4301376527","https://openalex.org/W2155972981","https://openalex.org/W1971752766","https://openalex.org/W3030070687","https://openalex.org/W2071284812"],"abstract_inverted_index":{"Urban":[0],"sensing,":[1,3],"participatory":[2],"and":[4,20,79,96,147],"user":[5,62],"activity":[6],"recognition":[7],"can":[8],"provide":[9],"rich":[10],"contextual":[11,27],"information":[12,28],"for":[13,46],"mobile":[14,30],"applications":[15],"such":[16],"as":[17,64,66],"social":[18],"networking":[19],"location-based":[21],"services.":[22],"However,":[23],"continuously":[24],"capturing":[25],"this":[26,38],"on":[29,114],"devices":[31],"consumes":[32],"huge":[33],"amount":[34],"of":[35,77,98,105,121],"energy.":[36],"In":[37],"paper,":[39],"we":[40],"present":[41,92],"a":[42,74,103],"novel":[43],"design":[44],"framework":[45],"an":[47,115],"Energy":[48],"Efficient":[49],"Mobile":[50],"Sensing":[51],"System":[52],"(EEMSS).":[53],"EEMSS":[54,85,99,122],"uses":[55],"hierarchical":[56],"sensor":[57,82],"management":[58],"strategy":[59],"to":[60,67],"recognize":[61],"states":[63],"well":[65],"detect":[68],"state":[69],"transitions.":[70],"By":[71],"powering":[72],"only":[73],"minimum":[75],"set":[76,104],"sensors":[78,113],"using":[80,112],"appropriate":[81],"duty":[83],"cycles":[84],"significantly":[86],"improves":[87],"device":[88,135],"battery":[89,136],"life.":[90],"We":[91],"the":[93,134],"design,":[94],"implementation,":[95],"evaluation":[97],"that":[100,130],"automatically":[101],"recognizes":[102],"users'":[106],"daily":[107],"activities":[108],"in":[109,150],"real":[110],"time":[111],"off-the-shelf":[116],"high-end":[117],"smart":[118],"phone.":[119],"Evaluation":[120],"with":[123],"10":[124],"users":[125],"over":[126],"one":[127],"week":[128],"shows":[129],"our":[131],"approach":[132],"increases":[133],"life":[137],"by":[138],"more":[139],"than":[140],"75%":[141],"while":[142],"maintaining":[143],"both":[144],"high":[145],"accuracy":[146],"low":[148],"latency":[149],"identifying":[151],"transitions":[152],"between":[153],"end-user":[154],"activities.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":35},{"year":2016,"cited_by_count":44},{"year":2015,"cited_by_count":40},{"year":2014,"cited_by_count":46},{"year":2013,"cited_by_count":67},{"year":2012,"cited_by_count":54}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
