{"id":"https://openalex.org/W4313547703","doi":"https://doi.org/10.1145/3558884.3558896","title":"Online Personalisation of Deep Mobile Activity Recognisers","display_name":"Online Personalisation of Deep Mobile Activity Recognisers","publication_year":2022,"publication_date":"2022-09-19","ids":{"openalex":"https://openalex.org/W4313547703","doi":"https://doi.org/10.1145/3558884.3558896"},"language":"en","primary_location":{"id":"doi:10.1145/3558884.3558896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3558884.3558896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Workshop on Sensor-based Activity Recognition and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5037647437","display_name":"Manuel Milling","orcid":"https://orcid.org/0000-0002-8842-2958"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Manuel Milling","raw_affiliation_strings":["University of Augsburg, Germany"],"raw_orcid":"https://orcid.org/0000-0002-8842-2958","affiliations":[{"raw_affiliation_string":"University of Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077030428","display_name":"Ilhan Aslan","orcid":"https://orcid.org/0000-0002-4803-1290"},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ilhan Aslan","raw_affiliation_strings":["Huawei Technologies, Germany"],"raw_orcid":"https://orcid.org/0000-0002-4803-1290","affiliations":[{"raw_affiliation_string":"Huawei Technologies, Germany","institution_ids":["https://openalex.org/I4210129353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078250162","display_name":"Moritz Berghofer","orcid":"https://orcid.org/0000-0003-2051-1222"},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Moritz Berghofer","raw_affiliation_strings":["Huawei Technologies, Germany"],"raw_orcid":"https://orcid.org/0000-0003-2051-1222","affiliations":[{"raw_affiliation_string":"Huawei Technologies, Germany","institution_ids":["https://openalex.org/I4210129353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048720202","display_name":"Adria Mallol-Ragolta","orcid":"https://orcid.org/0000-0001-6855-485X"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Adria Mallol-Ragolta","raw_affiliation_strings":["University of Augsburg, Germany"],"raw_orcid":"https://orcid.org/0000-0001-6855-485X","affiliations":[{"raw_affiliation_string":"University of Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000755913","display_name":"Utkarsh Kunwar","orcid":"https://orcid.org/0000-0001-9527-0932"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Utkarsh Kunwar","raw_affiliation_strings":["Aalto University, Finland"],"raw_orcid":"https://orcid.org/0000-0001-9527-0932","affiliations":[{"raw_affiliation_string":"Aalto University, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043060302","display_name":"Bj\u00f6rn W. Schuller","orcid":"https://orcid.org/0000-0002-6478-8699"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bj\u00f6rn Wolfgang Schuller","raw_affiliation_strings":["Imperial College London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-6478-8699","affiliations":[{"raw_affiliation_string":"Imperial College London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.961899995803833,"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/T13382","display_name":"Robotics and Automated Systems","score":0.960099995136261,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.7487682104110718},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.5629587173461914},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41673406958580017},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.4057027995586395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37054920196533203},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3481043577194214},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.31596553325653076}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487682104110718},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.5629587173461914},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41673406958580017},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.4057027995586395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37054920196533203},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3481043577194214},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.31596553325653076}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3558884.3558896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3558884.3558896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Workshop on Sensor-based Activity Recognition and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2026297770","https://openalex.org/W2063598276","https://openalex.org/W2087347434","https://openalex.org/W2117539524","https://openalex.org/W2538172027","https://openalex.org/W2736191430","https://openalex.org/W2906031885","https://openalex.org/W2909375257","https://openalex.org/W2911964244","https://openalex.org/W2929050222","https://openalex.org/W2941266383","https://openalex.org/W2998376881","https://openalex.org/W3009009611","https://openalex.org/W3133590696","https://openalex.org/W3134064484","https://openalex.org/W3138829747","https://openalex.org/W3161132553","https://openalex.org/W3210766530","https://openalex.org/W4210471050","https://openalex.org/W4243344539"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W4391210591","https://openalex.org/W1582019636","https://openalex.org/W1499005795","https://openalex.org/W3172493050","https://openalex.org/W4385420271","https://openalex.org/W4312192618","https://openalex.org/W2141531133"],"abstract_inverted_index":{"Activity":[0],"recognition":[1,34,42,127,199],"is":[2,83],"an":[3,76,211],"increasingly":[4],"important":[5],"feature":[6,104],"in":[7,223],"mobile":[8,125],"consumer":[9],"devices":[10],"that":[11,180,209],"enables":[12],"the":[13,19,64,67,79,96,122,153,156,224],"design":[14],"of":[15,21,70,101,124,150,158,170,214,228],"context-aware":[16],"applications":[17],"and":[18,56,66,106,117,155,177,207],"customisation":[20],"user":[22,196],"experiences.":[23],"Recent":[24],"deep":[25,71,103],"learning-based":[26],"recognisers":[27],"demonstrate":[28],"promising":[29],"performances":[30],"for":[31,95,121,138],"hand":[32],"activity":[33,41,126,187],"\u2013e.":[35,43],"g.,":[36,44],"washing":[37],"hands\u2013":[38],"or":[39,52],"human":[40],"cycling\u2013":[45],"when":[46],"exploiting":[47],"accelerometer":[48],"data":[49,59,82,184],"from":[50,60,193],"smartwatches":[51],"Magnetic":[53],"Angular":[54],"Rate":[55],"Gravity":[57],"(MARG)":[58],"body-worn":[61],"sensors.":[62],"However,":[63],"robustness":[65],"generalisation":[68],"capabilities":[69],"learning":[72,137],"models":[73,219],"can":[74,197],"be":[75],"issue,":[77],"since":[78],"consumers\u2019":[80],"locomotion":[81],"typically":[84],"not":[85],"available":[86],"at":[87],"training":[88,171,215],"time.":[89],"In":[90],"this":[91,159],"paper,":[92],"we":[93],"propose":[94],"first":[97],"time":[98],"a":[99,148,167,181,190,194],"pipeline":[100],"pre-trained":[102],"extractors":[105],"online":[107,136],"learning-capable":[108],"shallow":[109],"classifiers":[110],"\u2013such":[111],"as":[112],"passive-aggressive":[113],"classifiers,":[114],"random":[115],"forests,":[116],"support":[118],"vector":[119],"classifiers\u2013":[120],"personalisation":[123],"systems.":[128],"Our":[129,173],"suggested":[130],"solution":[131],"could":[132],"enable":[133],"efficient":[134],"on-device":[135],"personalisation,":[139],"thereby":[140],"contributing":[141],"to":[142,161,204,230],"users\u2019":[143],"privacy":[144],"preservation.":[145],"We":[146],"report":[147],"series":[149],"experiments":[151],"exploring":[152],"potential":[154],"limitations":[157],"approach":[160],"increase":[162],"user-specific":[163],"performance":[164],"given":[165],"only":[166],"limited":[168],"number":[169,213],"samples.":[172],"results":[174],"are":[175],"encouraging":[176],"show":[178],"(i)":[179],"single":[182],"additional":[183],"point":[185],"per":[186],"class":[188],"(in":[189],"25-class":[191],"problem)":[192],"new":[195],"reduce":[198],"errors":[200],"relatively":[201],"by":[202],"up":[203,229],"20":[205],"%,":[206],"(ii)":[208],"with":[210],"increasing":[212],"samples":[216],"our":[217],"personalised":[218],"outperform":[220],"comparable":[221],"approaches":[222],"literature,":[225],"achieving":[226],"accuracies":[227],"91.4":[231],"%.":[232]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
