{"id":"https://openalex.org/W7171520470","doi":"https://doi.org/10.1145/3807503.3820585","title":"From Laboratory to Real World Gait: Leveraging Progressive Transfer Learning for Accurate and Reliable Event Detection","display_name":"From Laboratory to Real World Gait: Leveraging Progressive Transfer Learning for Accurate and Reliable Event Detection","publication_year":2026,"publication_date":"2026-06-30","ids":{"openalex":"https://openalex.org/W7171520470","doi":"https://doi.org/10.1145/3807503.3820585"},"language":null,"primary_location":{"id":"doi:10.1145/3807503.3820585","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3807503.3820585","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3807503.3820585","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001700151","display_name":"Kai Zhe Tan","orcid":"https://orcid.org/0000-0001-8828-0278"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210097193","display_name":"Technologies pour la Sant\u00e9","ror":"https://ror.org/012hpz460","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210097193"]}],"countries":["CH","FR"],"is_corresponding":false,"raw_author_name":"Kai Zhe Tan","raw_affiliation_strings":["Future Health Technologies Programme, Singapore-ETH Centre, Singapore, Singapore and Laboratory of Movement Biomechanics, ETH Zurich, Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0001-8828-0278","affiliations":[{"raw_affiliation_string":"Future Health Technologies Programme, Singapore-ETH Centre, Singapore, Singapore and Laboratory of Movement Biomechanics, ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088","https://openalex.org/I4210097193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143851197","display_name":"Zhi Yi Yong","orcid":"https://orcid.org/0009-0002-9059-641X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhi Yi Yong","raw_affiliation_strings":["Future Health Technologies Programme, Singapore-ETH Centre, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0009-0002-9059-641X","affiliations":[{"raw_affiliation_string":"Future Health Technologies Programme, Singapore-ETH Centre, Singapore, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065378468","display_name":"Kresimir Friganovic","orcid":"https://orcid.org/0000-0002-6053-5539"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kresimir Friganovic","raw_affiliation_strings":["Singapore-ETH Centre, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-6053-5539","affiliations":[{"raw_affiliation_string":"Singapore-ETH Centre, Singapore, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329387","display_name":"Yong Kim","orcid":"https://orcid.org/0000-0002-8975-5762"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Yong Kuk Kim","raw_affiliation_strings":["Laboratory of Movement Biomechanics, ETH Zurich, Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-8975-5762","affiliations":[{"raw_affiliation_string":"Laboratory of Movement Biomechanics, ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009651509","display_name":"Navrag B. Singh","orcid":"https://orcid.org/0000-0001-8074-041X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Navrag B. Singh","raw_affiliation_strings":["Future Health Technologies Programme, Singapore-ETH Centre, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-8074-041X","affiliations":[{"raw_affiliation_string":"Future Health Technologies Programme, Singapore-ETH Centre, Singapore, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5774000287055969},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4625999927520752},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3050999939441681},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.290800005197525},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.26980000734329224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6424999833106995},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5774000287055969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4652000069618225},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4625999927520752},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2948000133037567},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2702000141143799},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2524000108242035},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3807503.3820585","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3807503.3820585","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3807503.3820585","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3807503.3820585","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2154338003","https://openalex.org/W2507174161","https://openalex.org/W3080627676","https://openalex.org/W4404035353"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"learning":[1,33,138],"models":[2],"trained":[3],"on":[4,72,96,110],"wearable":[5],"inertial":[6],"measurement":[7],"unit":[8],"(IMU)":[9],"data":[10],"in":[11,59],"controlled":[12],"settings":[13],"fail":[14],"when":[15],"deployed":[16],"across":[17,56],"new":[18],"environments":[19],"and":[20,42,68,105],"populations\u2014a":[21],"fundamental":[22],"barrier":[23],"to":[24,89],"reliable":[25],"real-world":[26],"monitoring.":[27],"We":[28],"present":[29],"a":[30,45,51,73,124,129],"progressive":[31],"transfer":[32],"(TL)":[34],"framework":[35],"for":[36,132],"gait":[37],"event":[38],"detection":[39],"(heel":[40],"strikes":[41],"toe-offs":[43],"from":[44,78,86],"single":[46],"lower-back":[47],"IMU)":[48],"that":[49],"adapts":[50],"Temporal":[52],"Convolutional":[53],"Network":[54],"(TCN)":[55],"three":[57],"domains":[58],"increasing":[60],"order":[61],"of":[62,136],"complexity:":[63],"lab":[64],"treadmill,":[65],"clinic":[66],"corridor,":[67],"outdoor":[69],"free-walking.":[70],"Fine-tuning":[71],"small":[74],"sample":[75],"(18":[76],"samples":[77],"clinical":[79,134],"corridor)":[80],"reduced":[81],"mean":[82],"absolute":[83],"error":[84],"(MAE)":[85],"206\u2013274":[87],"ms":[88,108],"31\u201345":[90],"ms.":[91],"A":[92],"second":[93],"adaptation":[94],"stage":[95],"8":[97],"free-walking":[98],"participants":[99],"achieved":[100],"\\(\\lt":[101],"\\!0.5\\%\\)":[102],"missed-event":[103],"rate":[104],"\u2248":[106],"22":[107],"MAE":[109],"held-out":[111],"participants.":[112],"The":[113],"same":[114],"TL":[115],"modelling":[116],"strategy":[117],"succeeds":[118],"at":[119],"both":[120],"stages":[121],"with":[122],"only":[123],"few":[125],"labelled":[126],"samples,":[127],"providing":[128],"sample-efficient":[130],"protocol":[131],"incremental":[133],"deployment":[135],"deep":[137],"models.":[139]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2026-07-29T00:00:00"}