{"id":"https://openalex.org/W3039586173","doi":"https://doi.org/10.1145/3389189.3389195","title":"Unconstrained workout activity recognition on unmodified commercial off-the-shelf smartphones","display_name":"Unconstrained workout activity recognition on unmodified commercial off-the-shelf smartphones","publication_year":2020,"publication_date":"2020-06-30","ids":{"openalex":"https://openalex.org/W3039586173","doi":"https://doi.org/10.1145/3389189.3389195","mag":"3039586173"},"language":"en","primary_location":{"id":"doi:10.1145/3389189.3389195","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3389189.3389195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments","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/A5047906003","display_name":"Biying Fu","orcid":"https://orcid.org/0000-0003-4848-1256"},"institutions":[{"id":"https://openalex.org/I3019423309","display_name":"Fraunhofer Institute for Computer Graphics Research","ror":"https://ror.org/04gmsar03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3019423309","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Biying Fu","raw_affiliation_strings":["Graphics Research IGD, Darmstadt, Hessen"],"affiliations":[{"raw_affiliation_string":"Graphics Research IGD, Darmstadt, Hessen","institution_ids":["https://openalex.org/I3019423309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051903529","display_name":"Florian Kirchbuchner","orcid":"https://orcid.org/0000-0003-3790-3732"},"institutions":[{"id":"https://openalex.org/I3019423309","display_name":"Fraunhofer Institute for Computer Graphics Research","ror":"https://ror.org/04gmsar03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3019423309","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Kirchbuchner","raw_affiliation_strings":["Graphics Research IGD, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Graphics Research IGD, Darmstadt, Germany","institution_ids":["https://openalex.org/I3019423309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046597105","display_name":"Arjan Kuijper","orcid":"https://orcid.org/0000-0002-6413-0061"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Arjan Kuijper","raw_affiliation_strings":["Technische Universtit\u00e4t Darmstadt, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universtit\u00e4t Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047906003"],"corresponding_institution_ids":["https://openalex.org/I3019423309"],"apc_list":null,"apc_paid":null,"fwci":0.5862,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68701687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9977999925613403,"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":0.9977999925613403,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9865999817848206,"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":0.6587938070297241},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6564772129058838},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.6060700416564941},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.47089818120002747},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43667012453079224},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.42352578043937683},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3925589919090271},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.38609370589256287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32684946060180664},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.15215718746185303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6587938070297241},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6564772129058838},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.6060700416564941},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.47089818120002747},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43667012453079224},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.42352578043937683},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3925589919090271},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.38609370589256287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32684946060180664},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.15215718746185303}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3389189.3389195","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3389189.3389195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-599600","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-599600.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IGD","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/408707","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/408707","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"conference paper"},{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:123397","is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/123397/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Konferenzver\u00f6ffentlichung"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1899431826","https://openalex.org/W1982828750","https://openalex.org/W2005708641","https://openalex.org/W2017475793","https://openalex.org/W2027800248","https://openalex.org/W2108598243","https://openalex.org/W2394945029","https://openalex.org/W2769004781","https://openalex.org/W2794026873","https://openalex.org/W2907706589","https://openalex.org/W3011638923"],"related_works":["https://openalex.org/W3034529322","https://openalex.org/W2055243143","https://openalex.org/W2115913271","https://openalex.org/W2113597336","https://openalex.org/W2155505549","https://openalex.org/W2357479218","https://openalex.org/W1819546284","https://openalex.org/W2165251242","https://openalex.org/W2043253324","https://openalex.org/W2018648706"],"abstract_inverted_index":{"Smartphones":[0],"have":[1],"become":[2,75],"an":[3,117,169],"essential":[4],"part":[5],"of":[6,48,58,95,157,173],"our":[7,158],"lives.":[8],"Especially":[9],"its":[10,14],"computing":[11],"power":[12],"and":[13,153,181],"current":[15],"specifications":[16],"make":[17],"a":[18,40,60,97,113,135,196,203],"modern":[19,41],"smartphone":[20,42,65,115],"even":[21],"more":[22],"powerful":[23],"than":[24],"the":[25,33,56,78,89,123,131,154,177,185],"computers":[26],"NASA":[27],"used":[28],"to":[29,32,66,86,88,91,116,121,130,202],"send":[30],"astronauts":[31],"moon.":[34],"Equipped":[35],"with":[36,138],"various":[37],"integrated":[38],"sensors,":[39],"can":[43,103,192],"be":[44,193],"leveraged":[45],"for":[46,149,176,184],"lots":[47],"smart":[49],"applications.":[50],"In":[51,108],"this":[52,109],"paper,":[53],"we":[54,111,145],"investigate":[55],"possibility":[57],"using":[59,96],"unmodified":[61],"commercial":[62],"off-the-shelf":[63],"(COTS)":[64],"recognize":[67],"8":[68],"different":[69],"workout":[70,73],"exercises.":[71],"App-based":[72],"has":[74],"popular":[76],"in":[77,200],"last":[79],"few":[80],"years.":[81],"People":[82],"do":[83],"not":[84],"need":[85],"go":[87],"gym":[90],"practice.":[92],"The":[93],"advantage":[94],"mobile":[98],"device":[99,120],"is,":[100],"that":[101],"you":[102],"practice":[104],"anywhere":[105],"at":[106],"anytime.":[107],"work,":[110],"turned":[112],"COTS":[114],"active":[118],"sonar":[119],"leverage":[122],"echo":[124],"reflected":[125],"from":[126,207],"exercising":[127],"movement":[128],"close":[129],"device.":[132],"By":[133],"conducting":[134],"test":[136],"study":[137],"14":[139],"participants":[140,187],"performing":[141],"these":[142],"eight":[143],"exercises,":[144],"show":[146],"first":[147],"results":[148,191],"cross":[150,178],"person":[151],"evaluation":[152],"generalization":[155],"ability":[156],"inference":[159],"models":[160],"on":[161],"unseen":[162],"participants.":[163],"A":[164],"bidirectional":[165],"LSTM":[166],"model":[167,199],"achieved":[168,194],"overall":[170],"F1":[171],"score":[172],"88.86":[174],"%":[175,183],"subject":[179],"case":[180],"79.52":[182],"holdout":[186],"evaluation.":[188],"Similar":[189],"good":[190],"by":[195],"VGG16":[197],"fine-tuned":[198],"comparison":[201],"2D-CNN":[204],"architecture":[205],"trained":[206],"scratch.":[208]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-02-26T08:16:20.718346","created_date":"2025-10-10T00:00:00"}