{"id":"https://openalex.org/W1976018856","doi":"https://doi.org/10.1109/tmc.2014.2331969","title":"Power-Aware Computing in Wearable Sensor Networks: An Optimal Feature Selection","display_name":"Power-Aware Computing in Wearable Sensor Networks: An Optimal Feature Selection","publication_year":2014,"publication_date":"2014-06-20","ids":{"openalex":"https://openalex.org/W1976018856","doi":"https://doi.org/10.1109/tmc.2014.2331969","mag":"1976018856"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2014.2331969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2014.2331969","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-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/A5007139473","display_name":"Hassan Ghasemzadeh","orcid":"https://orcid.org/0000-0002-1844-1416"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hassan Ghasemzadeh","raw_affiliation_strings":["School of Electrical Engineering, Computer Science at Washington State University, WA, Pullman","Sch. of Electr. Eng. & Comput. Sci.,, Washington State Univ., Pullman, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Computer Science at Washington State University, WA, Pullman","institution_ids":["https://openalex.org/I72951846"]},{"raw_affiliation_string":"Sch. of Electr. Eng. & Comput. Sci.,, Washington State Univ., Pullman, WA, USA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012009573","display_name":"Navid Amini","orcid":"https://orcid.org/0000-0003-1469-8641"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Navid Amini","raw_affiliation_strings":["Stein Eye Institute and Wireless Health Institute at University of California, CA, Los Angeles","Stein Eye Inst., Univ. of California, Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stein Eye Institute and Wireless Health Institute at University of California, CA, Los Angeles","institution_ids":[]},{"raw_affiliation_string":"Stein Eye Inst., Univ. of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073938661","display_name":"Ramyar Saeedi","orcid":"https://orcid.org/0000-0002-5687-3420"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramyar Saeedi","raw_affiliation_strings":["School of Electrical Engineering, Computer Science at Washington State University, WA, Pullman","Sch. of Electr. Eng. & Comput. Sci.,, Washington State Univ., Pullman, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Computer Science at Washington State University, WA, Pullman","institution_ids":["https://openalex.org/I72951846"]},{"raw_affiliation_string":"Sch. of Electr. Eng. & Comput. Sci.,, Washington State Univ., Pullman, WA, USA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078132977","display_name":"Majid Sarrafzadeh","orcid":"https://orcid.org/0000-0001-8407-8689"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Majid Sarrafzadeh","raw_affiliation_strings":["Computer Science Department, University of California, CA, Los Angeles","Computer Science Department, University of California, Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of California, CA, Los Angeles","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Computer Science Department, University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.1357,"has_fulltext":false,"cited_by_count":99,"citation_normalized_percentile":{"value":0.98645149,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"14","issue":"4","first_page":"800","last_page":"812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9973000288009644,"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/T12238","display_name":"Green IT and Sustainability","score":0.9954000115394592,"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":0.8185388445854187},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6927183270454407},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.554405927658081},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5380607843399048},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4943838119506836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4833804965019226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47434794902801514},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4593013525009155},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.42805033922195435},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4120194613933563},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34985828399658203},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20522356033325195},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.19657304883003235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8185388445854187},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6927183270454407},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.554405927658081},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5380607843399048},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4943838119506836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4833804965019226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47434794902801514},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4593013525009155},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.42805033922195435},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4120194613933563},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34985828399658203},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20522356033325195},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.19657304883003235},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2014.2331969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2014.2331969","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W37005","https://openalex.org/W1594554950","https://openalex.org/W1598741436","https://openalex.org/W1606626619","https://openalex.org/W1685464609","https://openalex.org/W1754238276","https://openalex.org/W1847526739","https://openalex.org/W1897824230","https://openalex.org/W1933821928","https://openalex.org/W1982271960","https://openalex.org/W1982923598","https://openalex.org/W1985694287","https://openalex.org/W1994267825","https://openalex.org/W1996696146","https://openalex.org/W2017337590","https://openalex.org/W2017537474","https://openalex.org/W2035454449","https://openalex.org/W2038323322","https://openalex.org/W2051610878","https://openalex.org/W2061818616","https://openalex.org/W2075996447","https://openalex.org/W2079841778","https://openalex.org/W2098831374","https://openalex.org/W2100253618","https://openalex.org/W2101461084","https://openalex.org/W2103308415","https://openalex.org/W2106053110","https://openalex.org/W2106335692","https://openalex.org/W2111684533","https://openalex.org/W2115354719","https://openalex.org/W2117252912","https://openalex.org/W2123090672","https://openalex.org/W2124480468","https://openalex.org/W2127739920","https://openalex.org/W2129663297","https://openalex.org/W2130556178","https://openalex.org/W2131147042","https://openalex.org/W2131496831","https://openalex.org/W2133462743","https://openalex.org/W2134751203","https://openalex.org/W2136744557","https://openalex.org/W2141672871","https://openalex.org/W2142679274","https://openalex.org/W2144293278","https://openalex.org/W2145955225","https://openalex.org/W2146282931","https://openalex.org/W2155664816","https://openalex.org/W2156571267","https://openalex.org/W2157562389","https://openalex.org/W2162555816","https://openalex.org/W2166712377","https://openalex.org/W2170093473","https://openalex.org/W2540822603","https://openalex.org/W2546640256","https://openalex.org/W2963951026","https://openalex.org/W4230548926","https://openalex.org/W4243034134","https://openalex.org/W4255105390","https://openalex.org/W6637461618","https://openalex.org/W6637903882","https://openalex.org/W6640527162","https://openalex.org/W6675751002","https://openalex.org/W6681488331","https://openalex.org/W6682904970","https://openalex.org/W6728817311"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2095299560","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W2999186374"],"abstract_inverted_index":{"Wearable":[0],"sensory":[1],"devices":[2],"are":[3,18,34,86,176],"becoming":[4],"the":[5,22,35,81,126,141,154,169,192,209,237],"enabling":[6],"technology":[7],"for":[8,157],"many":[9],"applications":[10,159],"in":[11,47,178,211,241],"healthcare":[12],"and":[13,54,72,188,201],"well-being,":[14],"where":[15],"computational":[16],"elements":[17],"tightly":[19],"coupled":[20],"with":[21],"human":[23],"body":[24],"to":[25,74,88,119,125,185,207],"monitor":[26],"specific":[27],"events":[28,44,77],"about":[29],"their":[30],"subjects.":[31],"Classification":[32],"algorithms":[33,57,85],"most":[36],"commonly":[37],"used":[38,87],"machine":[39],"learning":[40],"modules":[41],"that":[42,175,228],"detect":[43],"of":[45,52,59,103,108,128,143,153,172,191,220,236],"interest":[46],"these":[48],"systems.":[49],"The":[50,194],"use":[51],"accurate":[53],"resource-efficient":[55],"classification":[56,158,252],"is":[58,183,196,205],"key":[60],"importance":[61],"because":[62],"wearable":[63],"nodes":[64],"operate":[65],"on":[66,69,80,217],"limited":[67],"resources":[68],"one":[70],"hand":[71],"intend":[73],"recognize":[75],"critical":[76],"(e.g.,":[78],"falls)":[79],"other":[82],"hand.":[83],"These":[84],"map":[89],"statistical":[90],"features":[91,116,174,210],"extracted":[92],"from":[93,224],"physiological":[94],"signals":[95],"onto":[96],"different":[97],"states":[98],"such":[99,160],"as":[100,161],"health":[101],"status":[102],"a":[104,112,202,212],"patient":[105],"or":[106],"type":[107],"activity":[109,221],"performed":[110],"by":[111],"subject.":[113],"Conventionally":[114],"selected":[115],"may":[117],"lead":[118],"rapid":[120],"battery":[121],"depletion,":[122],"mainly":[123],"due":[124],"absence":[127],"computing":[129,189,238],"complexity":[130,190],"criterion":[131],"while":[132,248],"selecting":[133],"prominent":[134],"features.":[135,193],"In":[136],"this":[137],"paper,":[138],"we":[139],"introduce":[140],"notion":[142],"power-aware":[144],"feature":[145],"selection,":[146],"which":[147],"aims":[148],"at":[149],"minimizing":[150],"energy":[151,170,234,246],"consumption":[152,235],"data":[155,222],"processing":[156],"action":[162],"recognition.":[163],"Our":[164],"approach":[165,230],"takes":[166],"into":[167],"consideration":[168],"cost":[171],"individual":[173],"calculated":[177],"real-time.":[179],"A":[180],"graph":[181],"model":[182],"introduced":[184],"represent":[186],"correlation":[187],"problem":[195],"formulated":[197],"using":[198],"integer":[199],"programming":[200],"greedy":[203],"approximation":[204],"presented":[206],"select":[208],"power-efficient":[213],"manner.":[214],"Experimental":[215],"results":[216],"thirty":[218],"channels":[219],"collected":[223],"real":[225],"subjects":[226],"demonstrate":[227],"our":[229],"can":[231],"significantly":[232],"reduce":[233],"module,":[239],"resulting":[240],"more":[242],"than":[243],"30":[244],"percent":[245,251],"savings":[247],"achieving":[249],"96.7":[250],"accuracy.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
