{"id":"https://openalex.org/W3202950846","doi":"https://doi.org/10.1145/3460418.3479383","title":"An Ensemble of ConvTransformer Networks for the Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenge","display_name":"An Ensemble of ConvTransformer Networks for the Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenge","publication_year":2021,"publication_date":"2021-09-21","ids":{"openalex":"https://openalex.org/W3202950846","doi":"https://doi.org/10.1145/3460418.3479383","mag":"3202950846"},"language":"en","primary_location":{"id":"doi:10.1145/3460418.3479383","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3460418.3479383","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3460418.3479383","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3460418.3479383","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074923529","display_name":"Aosheng Tian","orcid":"https://orcid.org/0000-0002-9532-9217"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aosheng Tian","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449291","display_name":"Ye Zhang","orcid":"https://orcid.org/0000-0001-8721-4535"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648348","display_name":"Huiling Chen","orcid":"https://orcid.org/0000-0002-7714-9693"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiling Chen","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036455193","display_name":"Chao Ma","orcid":"https://orcid.org/0000-0003-0751-7865"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Ma","raw_affiliation_strings":["National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102837714","display_name":"Shilin Zhou","orcid":"https://orcid.org/0000-0002-8670-5292"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilin Zhou","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074923529"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.4246,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57741995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"408","last_page":"411"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9991000294685364,"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":0.9991000294685364,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9915000200271606,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9901999831199646,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/subnet","display_name":"Subnet","score":0.8753878474235535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7071586847305298},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6247548460960388},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5516713857650757},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5238373875617981},{"id":"https://openalex.org/keywords/gsm","display_name":"GSM","score":0.4749096632003784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4346930682659149},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36268502473831177},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3621975779533386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32974952459335327},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1859096884727478},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14870747923851013}],"concepts":[{"id":"https://openalex.org/C21099817","wikidata":"https://www.wikidata.org/wiki/Q7631721","display_name":"Subnet","level":2,"score":0.8753878474235535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7071586847305298},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6247548460960388},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5516713857650757},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5238373875617981},{"id":"https://openalex.org/C59201141","wikidata":"https://www.wikidata.org/wiki/Q46904","display_name":"GSM","level":2,"score":0.4749096632003784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4346930682659149},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36268502473831177},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3621975779533386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32974952459335327},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1859096884727478},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14870747923851013},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3460418.3479383","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3460418.3479383","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3460418.3479383","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3460418.3479383","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3460418.3479383","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3460418.3479383","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2580802114","display_name":null,"funder_award_id":"62002372","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6688104968","display_name":null,"funder_award_id":"620023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7116918372","display_name":null,"funder_award_id":"61903373","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3202950846.pdf","grobid_xml":"https://content.openalex.org/works/W3202950846.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W759069107","https://openalex.org/W2039301310","https://openalex.org/W2157331557","https://openalex.org/W2187288681","https://openalex.org/W2551239383","https://openalex.org/W2560675361","https://openalex.org/W2604630936","https://openalex.org/W2753227367","https://openalex.org/W2883766876","https://openalex.org/W2899151654","https://openalex.org/W2907123474","https://openalex.org/W2965144482","https://openalex.org/W3109635183","https://openalex.org/W3203725677"],"related_works":["https://openalex.org/W2356206668","https://openalex.org/W2131631951","https://openalex.org/W2130707537","https://openalex.org/W2105155969","https://openalex.org/W1977409556","https://openalex.org/W2361602549","https://openalex.org/W4362683600","https://openalex.org/W3200778902","https://openalex.org/W2390667963","https://openalex.org/W3098387898"],"abstract_inverted_index":{"The":[0,60],"task":[1],"of":[2,13,53,129],"the":[3,67,74,91,119,132],"SHL":[4],"recognition":[5,45],"challenge":[6],"2021":[7],"is":[8,58,77],"to":[9,79,105],"recognize":[10,80],"eight":[11],"modes":[12,85],"locomotion-transportation":[14],"based":[15],"on":[16,118,131],"radio":[17],"sequential":[18],"data":[19,24],"collected":[20],"by":[21],"smartphones.":[22],"These":[23],"includes":[25],"GPS":[26,28],"reception,":[27],"location,":[29],"WiFi":[30],"reception":[31],"and":[32,55,66,83,93,111],"GSM":[33],"cell":[34],"tower":[35],"scans.":[36],"In":[37],"this":[38],"challenge,":[39],"our":[40,99,122],"team":[41,100],"(Transformers)":[42],"presents":[43],"a":[44,48,126],"scheme.":[46],"First,":[47],"deep":[49],"model":[50],"(ConvTransformer)":[51],"composed":[52],"convolutional":[54,61],"Transformer":[56,68],"subnets":[57],"proposed.":[59],"subnet":[62,69],"captures":[63],"local":[64],"features,":[65],"constructs":[70],"long-term":[71],"dependencies.":[72],"Then,":[73],"ConvTransformer":[75,103],"network":[76,104],"used":[78],"different":[81],"locomotion":[82],"transportation":[84],"through":[86,109],"location":[87,112],"data.":[88,113],"Finally,":[89],"since":[90],"still":[92],"subway":[94],"categories":[95],"are":[96],"easily":[97],"confused,":[98],"uses":[101],"another":[102],"further":[106],"classify":[107],"them":[108],"cells":[110],"Through":[114],"cross":[115],"validation":[116,133],"techniques":[117],"training":[120],"dataset,":[121],"proposed":[123],"scheme":[124],"achieved":[125],"F1":[127],"score":[128],"0.6838":[130],"dataset.":[134]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
