{"id":"https://openalex.org/W2949479937","doi":"https://doi.org/10.1109/percomw.2019.8730742","title":"The Impact of Data Reduction on Wearable-Based Human Activity Recognition","display_name":"The Impact of Data Reduction on Wearable-Based Human Activity Recognition","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2949479937","doi":"https://doi.org/10.1109/percomw.2019.8730742","mag":"2949479937"},"language":"en","primary_location":{"id":"doi:10.1109/percomw.2019.8730742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2019.8730742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","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/A5089728982","display_name":"Hosein Nourani","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hosein Nourani","raw_affiliation_strings":["Dept. of Computer Science & Software Engineering, Concordia University, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Software Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049727493","display_name":"Emad Shihab","orcid":"https://orcid.org/0000-0003-1285-9878"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Emad Shihab","raw_affiliation_strings":["Dept. of Computer Science & Software Engineering, Concordia University, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Software Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007969269","display_name":"O. Sarbishei","orcid":"https://orcid.org/0000-0001-5677-2462"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Omid Sarbishei","raw_affiliation_strings":["Research and Development (R&D), Motsai Inc., Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Development (R&D), Motsai Inc., Montreal, Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.04569575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"89","last_page":"94"},"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":0.97079998254776,"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9452000260353088,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.8930104970932007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7192679047584534},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6714692711830139},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6258606910705566},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6086447238922119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5860199332237244},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5662951469421387},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5475888252258301},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4955340623855591},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49431324005126953},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4377667009830475},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4352342486381531},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.42329132556915283},{"id":"https://openalex.org/keywords/data-reduction","display_name":"Data reduction","score":0.4223184883594513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10082465410232544},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06729328632354736}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.8930104970932007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7192679047584534},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6714692711830139},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6258606910705566},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6086447238922119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5860199332237244},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5662951469421387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5475888252258301},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4955340623855591},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49431324005126953},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4377667009830475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4352342486381531},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.42329132556915283},{"id":"https://openalex.org/C153914771","wikidata":"https://www.wikidata.org/wiki/Q5227343","display_name":"Data reduction","level":2,"score":0.4223184883594513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10082465410232544},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06729328632354736},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomw.2019.8730742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2019.8730742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","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":34,"referenced_works":["https://openalex.org/W67272025","https://openalex.org/W134960717","https://openalex.org/W137065004","https://openalex.org/W1566965937","https://openalex.org/W1762028752","https://openalex.org/W1840637580","https://openalex.org/W1981399499","https://openalex.org/W1991239827","https://openalex.org/W2017634428","https://openalex.org/W2026759935","https://openalex.org/W2044507856","https://openalex.org/W2059732136","https://openalex.org/W2064999921","https://openalex.org/W2110159806","https://openalex.org/W2119387367","https://openalex.org/W2129793335","https://openalex.org/W2131855056","https://openalex.org/W2146884567","https://openalex.org/W2158703410","https://openalex.org/W2159613676","https://openalex.org/W2249542844","https://openalex.org/W2272847350","https://openalex.org/W2362339555","https://openalex.org/W2522625724","https://openalex.org/W2593796416","https://openalex.org/W2734506987","https://openalex.org/W2764209689","https://openalex.org/W2766242263","https://openalex.org/W4235145261","https://openalex.org/W4255262795","https://openalex.org/W4285719527","https://openalex.org/W6605479355","https://openalex.org/W6633949975","https://openalex.org/W6707314816"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305","https://openalex.org/W2035068594","https://openalex.org/W4225593417","https://openalex.org/W20047544","https://openalex.org/W3045078934","https://openalex.org/W1993351602","https://openalex.org/W2170142494"],"abstract_inverted_index":{"One":[0],"crucial":[1],"step":[2,40],"toward":[3],"improving":[4],"any":[5],"pattern":[6],"recognition":[7],"model":[8,87],"is":[9],"refining":[10],"the":[11,21,28,34,51,71,97],"data":[12,41],"(feature":[13,18],"extraction)":[14],"and":[15,45,61],"simplifying":[16],"it":[17],"selection)":[19],"for":[20,122],"classifier.":[22],"In":[23],"this":[24],"paper,":[25],"we":[26,90,103],"investigate":[27],"impact":[29,52,83,96,113],"of":[30,36,53,58,73,84,99,124],"feature":[31,54,67,93,106],"reduction":[32,55,68,94,107],"on":[33,114],"performance":[35],"HAR.":[37],"We":[38],"collected":[39],"from":[42],"two":[43],"subjects":[44],"answer":[46],"research":[47],"questions":[48],"related":[49],"to":[50,77,127],"in":[56,86],"terms":[57],"performance,":[59],"generalizability":[60,98],"varying":[62],"classifiers.":[63],"Our":[64,118],"findings":[65],"indicate":[66],"can":[69,95],"reduce":[70],"number":[72],"features":[74],"by":[75],"close":[76],"90%,":[78],"while":[79,133],"only":[80],"having":[81],"an":[82],"1-2%":[85],"performance.":[88,136],"Moreover,":[89],"find":[91,104],"that":[92,105],"HAR":[100,125],"models.":[101],"Lastly,":[102],"does":[108],"not":[109],"have":[110],"a":[111],"major":[112],"most":[115],"classifiers":[116],"examined.":[117],"results":[119],"are":[120],"useful":[121],"designers":[123],"systems":[126],"help":[128],"them":[129],"optimize":[130],"their":[131],"models":[132],"ensuring":[134],"high":[135]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
