{"id":"https://openalex.org/W3084913306","doi":"https://doi.org/10.1145/3410530.3414341","title":"Summary of the sussex-huawei locomotion-transportation recognition challenge 2020","display_name":"Summary of the sussex-huawei locomotion-transportation recognition challenge 2020","publication_year":2020,"publication_date":"2020-09-10","ids":{"openalex":"https://openalex.org/W3084913306","doi":"https://doi.org/10.1145/3410530.3414341","mag":"3084913306"},"language":"en","primary_location":{"id":"doi:10.1145/3410530.3414341","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3410530.3414341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers","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/A5100403109","display_name":"Lin Wang","orcid":"https://orcid.org/0000-0001-8095-9518"},"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":["Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004955908","display_name":"Hristijan Gjoreski","orcid":"https://orcid.org/0000-0002-0770-4268"},"institutions":[{"id":"https://openalex.org/I4210157357","display_name":"University of Ss. Cyril and Methodius in Trnava","ror":"https://ror.org/04xdyq509","country_code":"SK","type":"education","lineage":["https://openalex.org/I4210157357"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Hristijan Gjoreski","raw_affiliation_strings":["Ss. Cyril and Methodius University, MK"],"affiliations":[{"raw_affiliation_string":"Ss. Cyril and Methodius University, MK","institution_ids":["https://openalex.org/I4210157357"]}]},{"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":["University of Sussex, UK"],"affiliations":[{"raw_affiliation_string":"University of Sussex, UK","institution_ids":["https://openalex.org/I162608824"]}]},{"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/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Paula Lago","raw_affiliation_strings":["Kyushu Institute of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042913302","display_name":"Kazuya Murao","orcid":"https://orcid.org/0000-0002-3777-8399"},"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":["Ritsumeikan University, Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026921207","display_name":"Tsuyoshi Okita","orcid":"https://orcid.org/0000-0002-1286-5496"},"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"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsuyoshi Okita","raw_affiliation_strings":["Kyushu Institute of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Japan","institution_ids":["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":["University of Sussex, UK"],"affiliations":[{"raw_affiliation_string":"University of Sussex, UK","institution_ids":["https://openalex.org/I162608824"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100403109"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":4.7761,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.95181337,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"351","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.992900013923645,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/torso","display_name":"Torso","score":0.7842915058135986},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6642702221870422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6529473066329956},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.6063220500946045},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.45157283544540405},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.44534531235694885},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4304690361022949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38644343614578247},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3293129503726959},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13118818402290344}],"concepts":[{"id":"https://openalex.org/C523889960","wikidata":"https://www.wikidata.org/wiki/Q160695","display_name":"Torso","level":2,"score":0.7842915058135986},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6642702221870422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6529473066329956},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.6063220500946045},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.45157283544540405},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.44534531235694885},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4304690361022949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38644343614578247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3293129503726959},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13118818402290344},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3410530.3414341","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3410530.3414341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/68175","is_oa":false,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/68175","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W944070795","https://openalex.org/W1792850769","https://openalex.org/W1991801742","https://openalex.org/W2018690964","https://openalex.org/W2061770099","https://openalex.org/W2084553975","https://openalex.org/W2101535084","https://openalex.org/W2108609368","https://openalex.org/W2110991980","https://openalex.org/W2883766876","https://openalex.org/W2895170793","https://openalex.org/W2899061465","https://openalex.org/W2899151654","https://openalex.org/W2907123474","https://openalex.org/W2937254027","https://openalex.org/W2959077771","https://openalex.org/W2963373106","https://openalex.org/W2972497135","https://openalex.org/W2973195788","https://openalex.org/W3016811250","https://openalex.org/W3084453745","https://openalex.org/W3084469922","https://openalex.org/W3084573352","https://openalex.org/W3084636664","https://openalex.org/W3084771895","https://openalex.org/W3084911924","https://openalex.org/W3085117086","https://openalex.org/W3085353868","https://openalex.org/W3085412470","https://openalex.org/W3085994804","https://openalex.org/W3086017313","https://openalex.org/W3086082071","https://openalex.org/W3086192230","https://openalex.org/W3086681538"],"related_works":["https://openalex.org/W4381953457","https://openalex.org/W2037557144","https://openalex.org/W2285739514","https://openalex.org/W2058088690","https://openalex.org/W2086597735","https://openalex.org/W2052143774","https://openalex.org/W1984495143","https://openalex.org/W4308297792","https://openalex.org/W2158185825","https://openalex.org/W2907711023"],"abstract_inverted_index":{"In":[0],"this":[1,28],"paper":[2],"we":[3],"summarize":[4],"the":[5,10,19,50,107,111,114,117,124,131,138],"contributions":[6,125],"of":[7,22,27,54,70,116,123,169,171],"participants":[8],"to":[9,34],"third":[11],"Sussex-Huawei":[12],"Locomotion-Transportation":[13],"(SHL)":[14],"Recognition":[15],"Challenge":[16],"organized":[17],"at":[18,79,99],"HASCA":[20],"Workshop":[21],"UbiComp/ISWC":[23],"2020.":[24],"The":[25,67,88],"goal":[26],"machine":[29],"learning/data":[30],"science":[31],"challenge":[32,112],"is":[33,74],"recognize":[35],"eight":[36],"locomotion":[37],"and":[38,86,113,137,155,160,162],"transportation":[39],"activities":[40],"(Still,":[41],"Walk,":[42],"Run,":[43],"Bike,":[44],"Bus,":[45],"Car,":[46],"Train,":[47],"Subway)":[48],"from":[49,76,92,126],"inertial":[51],"sensor":[52],"data":[53,69,90],"a":[55,58,71,96,121,167],"smartphone":[56,97],"in":[57,110],"user-independent":[59],"manner":[60],"with":[61,95,150,166],"an":[62],"unknown":[63],"target":[64],"phone":[65],"position.":[66,104],"training":[68],"\"train\"":[72],"user":[73],"available":[75],"smartphones":[77],"placed":[78,98],"four":[80,163],"body":[81,103],"positions":[82],"(Hand,":[83],"Torso,":[84],"Bag":[85],"Hips).":[87],"testing":[89],"originates":[91],"\"test\"":[93],"users":[94],"one,":[100],"but":[101],"unknown,":[102],"We":[105,119],"introduce":[106],"dataset":[108],"used":[109],"protocol":[115],"competition.":[118],"present":[120],"meta-analysis":[122],"15":[127],"submissions,":[128],"their":[129],"approaches,":[130],"software":[132],"tools":[133],"used,":[134],"computational":[135],"cost":[136],"achieved":[139,144],"results.":[140],"Overall,":[141],"one":[142],"submission":[143],"F1":[145,151],"scores":[146,152],"above":[147],"80%,":[148,156],"three":[149],"between":[153,158],"70%":[154],"seven":[157],"50%":[159],"70%,":[161],"below":[164],"50%,":[165],"latency":[168],"maximum":[170],"5":[172],"seconds.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":14}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}