{"id":"https://openalex.org/W3047637857","doi":"https://doi.org/10.1145/3411832","title":"ESPRESSO","display_name":"ESPRESSO","publication_year":2020,"publication_date":"2020-09-04","ids":{"openalex":"https://openalex.org/W3047637857","doi":"https://doi.org/10.1145/3411832","mag":"3047637857"},"language":"en","primary_location":{"id":"doi:10.1145/3411832","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3411832","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.03230","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067657938","display_name":"Shohreh Deldari","orcid":"https://orcid.org/0000-0001-8150-120X"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Shohreh Deldari","raw_affiliation_strings":["School of Science, RMIT University/ Data61, CSIRO, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Science, RMIT University/ Data61, CSIRO, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845","https://openalex.org/I1292875679","https://openalex.org/I42894916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081269012","display_name":"Daniel Smith","orcid":"https://orcid.org/0000-0001-9983-095X"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Daniel V. Smith","raw_affiliation_strings":["Data61, CSIRO, Hobart, TAS, Australia"],"affiliations":[{"raw_affiliation_string":"Data61, CSIRO, Hobart, TAS, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031229174","display_name":"Amin Sadri","orcid":null},"institutions":[{"id":"https://openalex.org/I190461672","display_name":"Australia and New Zealand Banking Group","ror":"https://ror.org/012d8w472","country_code":"AU","type":"other","lineage":["https://openalex.org/I190461672"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Amin Sadri","raw_affiliation_strings":["ANZ, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"ANZ, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I190461672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090893421","display_name":"Flora D. Salim","orcid":"https://orcid.org/0000-0002-1237-1664"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Flora Salim","raw_affiliation_strings":["School of Science, RMIT University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Science, RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067657938"],"corresponding_institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916","https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":2.0608,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.89228315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"4","issue":"3","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9993000030517578,"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":0.9993000030517578,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7630609273910522},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5598829984664917},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5092157125473022},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5088732242584229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5051801800727844},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4815983474254608},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.43083661794662476},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.42883503437042236},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4244332015514374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38629037141799927},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38446858525276184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7630609273910522},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5598829984664917},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5092157125473022},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5088732242584229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5051801800727844},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4815983474254608},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.43083661794662476},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.42883503437042236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4244332015514374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38629037141799927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38446858525276184},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3411832","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3411832","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2008.03230","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.03230","pdf_url":"https://arxiv.org/pdf/2008.03230","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.03230","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.03230","pdf_url":"https://arxiv.org/pdf/2008.03230","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4184694895","display_name":null,"funder_award_id":"DP190101485","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W318467549","https://openalex.org/W1682770403","https://openalex.org/W2023302299","https://openalex.org/W2026297770","https://openalex.org/W2028563099","https://openalex.org/W2030980398","https://openalex.org/W2044535354","https://openalex.org/W2046868034","https://openalex.org/W2073401630","https://openalex.org/W2079229585","https://openalex.org/W2091266471","https://openalex.org/W2092012469","https://openalex.org/W2098703540","https://openalex.org/W2145343602","https://openalex.org/W2232966085","https://openalex.org/W2241219148","https://openalex.org/W2255036861","https://openalex.org/W2277981673","https://openalex.org/W2304267454","https://openalex.org/W2343142751","https://openalex.org/W2404909341","https://openalex.org/W2466337456","https://openalex.org/W2515822248","https://openalex.org/W2523257820","https://openalex.org/W2552544550","https://openalex.org/W2555924706","https://openalex.org/W2569173133","https://openalex.org/W2584499795","https://openalex.org/W2611753362","https://openalex.org/W2730215775","https://openalex.org/W2752236180","https://openalex.org/W2771203716","https://openalex.org/W2772184701","https://openalex.org/W2782961382","https://openalex.org/W2851629429","https://openalex.org/W2892644395","https://openalex.org/W2894771803","https://openalex.org/W2896414866","https://openalex.org/W2896899124","https://openalex.org/W2904662445","https://openalex.org/W2907028289","https://openalex.org/W2907410812","https://openalex.org/W2910408172","https://openalex.org/W2926548124","https://openalex.org/W2953213841","https://openalex.org/W2954621027","https://openalex.org/W2963460797","https://openalex.org/W2963748778","https://openalex.org/W2983436756","https://openalex.org/W3012749708","https://openalex.org/W3099025572","https://openalex.org/W4300626952"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2948549837","https://openalex.org/W1566614651"],"abstract_inverted_index":{"Extracting":[0],"informative":[1],"and":[2,33,42,61,128,145,174],"meaningful":[3],"temporal":[4,62,78,90],"segments":[5,105],"from":[6,69],"high-dimensional":[7],"wearable":[8,127],"sensor":[9],"data,":[10],"smart":[11],"devices,":[12],"or":[13,77],"IoT":[14],"data":[15],"is":[16,55],"a":[17,47,88,99,135],"vital":[18],"preprocessing":[19],"step":[20],"in":[21,169],"applications":[22],"such":[23],"as":[24],"Human":[25],"Activity":[26],"Recognition":[27],"(HAR),":[28],"trajectory":[29],"prediction,":[30],"gesture":[31],"recognition,":[32],"lifelogging.":[34],"In":[35,131],"this":[36],"paper,":[37],"we":[38,133,157],"propose":[39],"ESPRESSO":[40,67,111,144,166],"(Entropy":[41],"ShaPe":[43],"awaRe":[44],"timE-Series":[45],"SegmentatiOn),":[46],"hybrid":[48],"segmentation":[49],"model":[50,86],"for":[51],"multi-dimensional":[52],"time-series":[53,81,93],"that":[54,72,103],"formulated":[56],"to":[57,114,118,141,152,162],"exploit":[58],"the":[59,108,175],"entropy":[60,109],"shape":[63],"properties":[64,79],"of":[65,80,85,92,126,138,178],"time-series.":[66],"differs":[68],"existing":[70],"methods":[71,121,148],"focus":[73],"upon":[74,107],"particular":[75],"statistical":[76],"exclusively.":[82],"As":[83],"part":[84],"development,":[87],"novel":[89],"representation":[91],"WCAC":[94],"was":[95,112],"introduced":[96],"along":[97],"with":[98,150],"greedy":[100],"search":[101],"approach":[102],"estimate":[104],"based":[106],"metric.":[110],"shown":[113],"offer":[115],"superior":[116],"performance":[117],"four":[119],"state-of-the-art":[120],"across":[122],"seven":[123],"public":[124],"datasets":[125,140],"wear-free":[129],"sensing.":[130],"addition,":[132],"undertake":[134],"deeper":[136],"investigation":[137],"these":[139],"understand":[142],"how":[143,164],"its":[146],"constituent":[147],"perform":[149],"respect":[151],"different":[153],"dataset":[154],"characteristics.":[155],"Finally,":[156],"provide":[158],"two":[159],"interesting":[160],"case-studies":[161],"show":[163],"applying":[165],"can":[167],"assist":[168],"inferring":[170],"daily":[171],"activity":[172],"routines":[173],"emotional":[176],"state":[177],"humans.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2020-08-13T00:00:00"}
