{"id":"https://openalex.org/W7117456232","doi":"https://doi.org/10.1145/3714394.3756207","title":"Summary of SHL Challenge 2025: Locomotion and Transportation Mode Recognition Using Foundation Models","display_name":"Summary of SHL Challenge 2025: Locomotion and Transportation Mode Recognition Using Foundation Models","publication_year":2025,"publication_date":"2025-10-12","ids":{"openalex":"https://openalex.org/W7117456232","doi":"https://doi.org/10.1145/3714394.3756207"},"language":null,"primary_location":{"id":"doi:10.1145/3714394.3756207","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3714394.3756207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","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/A5015036348","display_name":"L Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Lin Wang","raw_affiliation_strings":["Centre for Digital Music, Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077861505","display_name":"Mathias Ciliberto","orcid":"https://orcid.org/0000-0001-9550-7637"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mathias Ciliberto","raw_affiliation_strings":["Mobisys, University of Cambridge, Cambridge, United Kingdom and Wearlab, University of Sussex, Bright, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Mobisys, University of Cambridge, Cambridge, United Kingdom and Wearlab, University of Sussex, Bright, United Kingdom","institution_ids":["https://openalex.org/I162608824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121493224","display_name":"Hristijan Gjoreski","orcid":null},"institutions":[{"id":"https://openalex.org/I76245029","display_name":"Saints Cyril and Methodius University of Skopje","ror":"https://ror.org/02wk2vx54","country_code":"MK","type":"education","lineage":["https://openalex.org/I76245029"]}],"countries":["MK"],"is_corresponding":false,"raw_author_name":"Hristijan Gjoreski","raw_affiliation_strings":["Ss. Cyril and Methodius University in Skopje, Skopje, Macedonia"],"affiliations":[{"raw_affiliation_string":"Ss. Cyril and Methodius University in Skopje, Skopje, Macedonia","institution_ids":["https://openalex.org/I76245029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070698030","display_name":"Paula Lago","orcid":"https://orcid.org/0000-0001-5290-6486"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Paula Lago","raw_affiliation_strings":["Concordia University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057692201","display_name":"Kazuya Murao","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuya Murao","raw_affiliation_strings":["College of Info. Sci. and Eng., Ritsumeikan University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"College of Info. Sci. and Eng., Ritsumeikan University, Osaka, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015845845","display_name":"Tsuyoshi Okita","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]},{"id":"https://openalex.org/I4210143983","display_name":"Kyushu Art Institute of Technology","ror":"https://ror.org/03t4t2e74","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210143983"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsuyoshi Okita","raw_affiliation_strings":["Artificial Intelligence Department, Kyushu Institute of Technology, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Department, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I4210143983","https://openalex.org/I207014233"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051210293","display_name":"Daniel Roggen","orcid":"https://orcid.org/0000-0001-8033-6417"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniel Roggen","raw_affiliation_strings":["Wearable Technologies Lab, University of Sussex, Brighton, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Wearable Technologies Lab, University of Sussex, Brighton, United Kingdom","institution_ids":["https://openalex.org/I162608824"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5015036348"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.60108846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1074","last_page":"1081"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.1421000063419342,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.1421000063419342,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.08510000258684158,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.08160000294446945,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.5647000074386597},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5162000060081482},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.46160000562667847},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4510999917984009},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.43959999084472656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5875999927520752},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.5647000074386597},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5162000060081482},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.46160000562667847},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4510999917984009},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.43959999084472656},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4081000089645386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38339999318122864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3206000030040741},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C2986565385","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion sensors","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2757999897003174},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.25999999046325684},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3714394.3756207","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3714394.3756207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4319811761379242,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W944070795","https://openalex.org/W1809001740","https://openalex.org/W1991024675","https://openalex.org/W1991801742","https://openalex.org/W2018690964","https://openalex.org/W2061770099","https://openalex.org/W2084553975","https://openalex.org/W2108609368","https://openalex.org/W2110991980","https://openalex.org/W2111207525","https://openalex.org/W2137100320","https://openalex.org/W2752228365","https://openalex.org/W2771098373","https://openalex.org/W2899061465","https://openalex.org/W2899151654","https://openalex.org/W2899848438","https://openalex.org/W2963373106","https://openalex.org/W2972497135","https://openalex.org/W2973014625","https://openalex.org/W3048842251","https://openalex.org/W3084913306","https://openalex.org/W3203725677","https://openalex.org/W4387421349","https://openalex.org/W4402722024"],"related_works":[],"abstract_inverted_index":{"The":[0,46,84,105,204],"paper":[1],"summarizes":[2],"the":[3,8,17,25,65,142,146,149,152,159,166,173,210],"contributions":[4,160],"of":[5,20,72,87,151,158,199,201],"participants":[6],"to":[7,42,49,128,209],"seventh":[9],"Sussex-Huawei":[10],"Locomotion-Transportation":[11],"(SHL)":[12],"Recognition":[13],"Challenge":[14],"organized":[15],"at":[16,96,116],"HASCA":[18],"Workshop":[19],"UbiComp/ISWC":[21],"2025.":[22],"Motivated":[23],"by":[24],"growing":[26],"interest":[27],"in":[28,75,145,216],"foundation":[29,138],"models,":[30,34],"particularly":[31],"large":[32],"language":[33],"this":[35],"year's":[36],"edition":[37],"will":[38,125],"explore":[39],"their":[40,164],"application":[41],"transportation":[43,54],"mode":[44],"recognition.":[45],"goal":[47],"is":[48,79,91,207],"recognize":[50],"eight":[51],"locomotion":[52],"and":[53,81,103,136,148,172,185,190,192],"activities":[55],"(Still,":[56],"Walk,":[57],"Run,":[58],"Bike,":[59],"Bus,":[60],"Car,":[61],"Train,":[62],"Subway)":[63],"from":[64,93,109,161],"motion":[66],"(accelerometer,":[67],"gyroscope,":[68],"magnetometer)":[69],"sensor":[70],"data":[71,86,107],"a":[73,76,88,113,130,134,156,197],"smartphone":[74,82,114],"way":[77],"which":[78],"user-independent":[80],"position-independent.":[83],"training":[85],"''train''":[89],"user":[90],"available":[92],"smartphones":[94],"placed":[95,115],"four":[97],"body":[98,118],"positions":[99,119],"(Hand,":[100],"Torso,":[101],"Bag":[102,121],"Hips).":[104,123],"testing":[106],"originates":[108],"''test''":[110],"users":[111],"with":[112,196,213],"three":[117,177],"(Torso,":[120],"or":[122],"Participants":[124],"be":[126],"required":[127],"develop":[129],"solution":[131],"that":[132],"leverages":[133],"recognized":[135],"well-established":[137],"model.":[139],"We":[140,154],"introduce":[141],"dataset":[143],"used":[144],"challenge":[147],"protocol":[150],"competition.":[153],"present":[155],"meta-analysis":[157],"7":[162],"submissions,":[163],"approaches,":[165],"software":[167],"tools":[168],"used,":[169],"computational":[170],"cost":[171],"achieved":[174,179,212],"results.":[175],"Overall,":[176],"submissions":[178],"an":[180],"F1":[181],"score":[182],"between":[183,188],"80%":[184],"90%,":[186],"two":[187,193],"70%":[189],"80%,":[191],"below":[194],"60%,":[195],"latency":[198],"maximum":[200],"5":[202],"seconds.":[203],"top":[205],"performance":[206],"comparable":[208],"results":[211],"non-foundation":[214],"models":[215],"previous":[217],"challenges.":[218]},"counts_by_year":[],"updated_date":"2026-02-23T20:09:44.859080","created_date":"2025-12-29T00:00:00"}
