{"id":"https://openalex.org/W4381746720","doi":"https://doi.org/10.1109/percomworkshops56833.2023.10150363","title":"Keynote: Data Scarcity in Sensor-Based Human Activity Recognition","display_name":"Keynote: Data Scarcity in Sensor-Based Human Activity Recognition","publication_year":2023,"publication_date":"2023-03-13","ids":{"openalex":"https://openalex.org/W4381746720","doi":"https://doi.org/10.1109/percomworkshops56833.2023.10150363"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops56833.2023.10150363","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/percomworkshops56833.2023.10150363","pdf_url":"https://ieeexplore.ieee.org/ielx7/10149845/10150216/10150363.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/10149845/10150216/10150363.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068914794","display_name":"Gabriele Civitarese","orcid":"https://orcid.org/0000-0002-8247-2524"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Gabriele Civitarese","raw_affiliation_strings":["University of Milan,EveryWare Lab,Dept. of Computer Science,Italy","Dept. of Computer Science, EveryWare Lab, University of Milan, Italy"],"affiliations":[{"raw_affiliation_string":"University of Milan,EveryWare Lab,Dept. of Computer Science,Italy","institution_ids":["https://openalex.org/I189158943"]},{"raw_affiliation_string":"Dept. of Computer Science, EveryWare Lab, University of Milan, Italy","institution_ids":["https://openalex.org/I189158943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068914794"],"corresponding_institution_ids":["https://openalex.org/I189158943"],"apc_list":null,"apc_paid":null,"fwci":0.1233,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39153744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"420","last_page":"420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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":0.982200026512146,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9442999958992004,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.7853866815567017},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7841565608978271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7484111785888672},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6920211911201477},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.605094850063324},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5797910094261169},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5238706469535828},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47194451093673706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4533675014972687},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.44602763652801514},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4366365969181061},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38268202543258667},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1267651915550232},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12234532833099365}],"concepts":[{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.7853866815567017},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7841565608978271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7484111785888672},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6920211911201477},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.605094850063324},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5797910094261169},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5238706469535828},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47194451093673706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4533675014972687},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.44602763652801514},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4366365969181061},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38268202543258667},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1267651915550232},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12234532833099365},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/percomworkshops56833.2023.10150363","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/percomworkshops56833.2023.10150363","pdf_url":"https://ieeexplore.ieee.org/ielx7/10149845/10150216/10150363.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:air.unimi.it:2434/980037","is_oa":true,"landing_page_url":"https://hdl.handle.net/2434/980037","pdf_url":"https://air.unimi.it/bitstream/2434/980037/3/Keynote_Data_Scarcity_in_Sensor-Based_Human_Activity_Recognition.pdf","source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":{"id":"doi:10.1109/percomworkshops56833.2023.10150363","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/percomworkshops56833.2023.10150363","pdf_url":"https://ieeexplore.ieee.org/ielx7/10149845/10150216/10150363.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381746720.pdf","grobid_xml":"https://content.openalex.org/works/W4381746720.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W2940383374","https://openalex.org/W3013777836","https://openalex.org/W4381746720"],"related_works":["https://openalex.org/W3105278570","https://openalex.org/W3090300519","https://openalex.org/W2117913171","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/W2582769230"],"abstract_inverted_index":{"Sensor-based":[0],"Human":[1],"Activity":[2],"Recognition":[3],"(HAR)":[4],"is":[5,83],"a":[6],"research":[7,121,147],"field":[8],"that":[9,59,72,101],"has":[10,28],"been":[11,29],"widely":[12],"studied":[13],"in":[14,140,184],"Pervasive":[15],"Computing.":[16],"Due":[17],"to":[18,24,31,106,128,180,209],"its":[19],"many":[20],"applications":[21],"from":[22],"healthcare":[23],"well-being,":[25],"sensor-based":[26,141],"HAR":[27],"proposed":[30],"recognize":[32],"high-level":[33],"activities":[34,43,82],"considering":[35],"smart-homes":[36],"environmental":[37],"sensors":[38],"as":[39,41],"well":[40],"low-level":[42],"using":[44],"wearable":[45],"sensors.":[46],"The":[47],"most":[48],"effective":[49],"solutions":[50],"presented":[51],"so":[52],"far":[53],"rely":[54],"on":[55,149,177],"supervised":[56],"learning":[57,165,191],"approaches,":[58],"have":[60],"the":[61,91,116,154,196],"potential":[62],"of":[63,75,94,104],"reaching":[64],"high":[65,92],"recognition":[66],"rates.":[67],"However,":[68,132],"such":[69],"approaches":[70,161,175],"assume":[71],"large":[73],"amounts":[74],"labeled":[76,111],"data":[77,112,133,179,182],"are":[78,102,113,123],"available.":[79],"Annotating":[80],"human":[81],"costly,":[84],"time-consuming,":[85],"intrusive,":[86],"and":[87,173,187,202],"often":[88],"prohibitive.":[89],"Considering":[90],"variability":[93],"activity":[95],"execution":[96],"among":[97],"different":[98],"subjects,":[99],"methods":[100],"capable":[103],"personalizing":[105],"each":[107],"subject":[108],"with":[109,163],"limited":[110],"needed.":[114],"In":[115,152],"last":[117],"few":[118],"years,":[119],"several":[120],"groups":[122],"indeed":[124],"working":[125],"hard":[126],"trying":[127],"mitigate":[129,181],"this":[130],"problem.":[131],"scarcity":[134,183],"still":[135,207],"remains":[136],"an":[137],"open":[138],"challenge":[139],"HAR.":[142],"This":[143],"talk":[144,155],"presents":[145],"latest":[146],"efforts":[148],"these":[150],"topics.":[151],"particular,":[153],"will":[156,194],"cover:":[157],"a)":[158],"purely":[159],"knowledge-based":[160,174],"enhanced":[162],"active":[164],"for":[166],"smart-home":[167],"sensor":[168],"data,":[169],"b)":[170],"hybrid":[171],"data-driven":[172],"relying":[176],"context":[178],"mobile":[185],"settings,":[186],"c)":[188],"semi-supervised":[189],"federated":[190],"approaches.":[192],"We":[193],"discuss":[195],"above-mentioned":[197],"challenges,":[198],"report":[199],"our":[200],"experience":[201],"identify":[203],"critical":[204],"aspects":[205],"which":[206],"need":[208],"be":[210],"investigated.":[211]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}