{"id":"https://openalex.org/W6906894396","doi":"https://doi.org/10.18420/btw2023-34","title":"JumpXClass: Explainable AI for Jump Classification in Trampoline Sports","display_name":"JumpXClass: Explainable AI for Jump Classification in Trampoline Sports","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W6906894396","doi":"https://doi.org/10.18420/btw2023-34"},"language":"en","primary_location":{"id":"doi:10.18420/btw2023-34","is_oa":true,"landing_page_url":"https://doi.org/10.18420/btw2023-34","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/btw2023-34","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Woltmann, Lucas","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Woltmann, Lucas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ferger, Katja","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ferger, Katja","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Hartmann, Claudio","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hartmann, Claudio","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Lehner, Wolfgang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lehner, Wolfgang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28369176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.5216000080108643,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.5216000080108643,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10157","display_name":"Sports Performance and Training","score":0.0421999990940094,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.03550000116229057,"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/trampoline","display_name":"Trampoline","score":0.9563999772071838},{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.8052999973297119},{"id":"https://openalex.org/keywords/athletes","display_name":"Athletes","score":0.5803999900817871},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5159000158309937},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4025999903678894},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.3822999894618988}],"concepts":[{"id":"https://openalex.org/C2779301863","wikidata":"https://www.wikidata.org/wiki/Q2448621","display_name":"Trampoline","level":2,"score":0.9563999772071838},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.8052999973297119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6603000164031982},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5931000113487244},{"id":"https://openalex.org/C2781054738","wikidata":"https://www.wikidata.org/wiki/Q4813730","display_name":"Athletes","level":2,"score":0.5803999900817871},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5159000158309937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4952999949455261},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4025999903678894},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C3019707481","wikidata":"https://www.wikidata.org/wiki/Q170737","display_name":"Long jump","level":3,"score":0.29670000076293945},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29649999737739563},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.26809999346733093},{"id":"https://openalex.org/C2779897013","wikidata":"https://www.wikidata.org/wiki/Q1151752","display_name":"Jumping","level":2,"score":0.2639999985694885}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18420/btw2023-34","is_oa":true,"landing_page_url":"https://doi.org/10.18420/btw2023-34","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18420/btw2023-34","is_oa":true,"landing_page_url":"https://doi.org/10.18420/btw2023-34","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Movement":[0],"patterns":[1],"in":[2,14],"trampoline":[3,161],"gymnastics":[4],"have":[5],"become":[6],"faster":[7],"and":[8,26,59,68,74,80,94,145,157],"more":[9],"complex":[10],"with":[11,128],"the":[12,15,20,72,89,92,101,104,112,140],"increase":[13],"athletes\u2019":[16],"capabilities.":[17],"This":[18,147],"makes":[19],"assessment":[21],"of":[22,88,134],"jump":[23,102,107,113,126],"type,":[24],"pose,":[25],"quality":[27],"during":[28,115],"training":[29,141],"or":[30,36],"competitions":[31],"by":[32],"humans":[33],"very":[34],"difficult":[35],"even":[37],"impossible.":[38],"To":[39,109],"counteract":[40],"this":[41],"development,":[42],"data-driven":[43],"solutions":[44],"are":[45,84],"thought":[46],"to":[47,51,64,71,155],"be":[48],"a":[49,120,151],"solution":[50],"improve":[52,139],"training.":[53],"In":[54],"recent":[55],"work,":[56],"sensor":[57],"measurements":[58],"machine":[60,77,105,124],"learning":[61,78],"is":[62],"used":[63],"automatically":[65],"predict":[66],"jumps":[67,159],"give":[69],"feedback":[70],"athletes":[73,93,144],"trainers.":[75,146],"However,":[76],"models,":[79],"especially":[81],"neural":[82],"networks,":[83],"black":[85],"boxes":[86],"most":[87],"time.":[90],"Therefore,":[91],"trainers":[95],"cannot":[96],"gain":[97],"any":[98],"insights":[99],"about":[100],"from":[103,160],"learning-based":[106,125],"classification.":[108],"better":[110],"understand":[111],"execution":[114],"training,":[116],"we":[117],"propose":[118],"JumpXClass:":[119],"tool":[121],"for":[122,143],"automatic":[123],"classification":[127],"explainable":[129,135],"artificial":[130,136],"intelligence.":[131],"Using":[132],"elements":[133],"intelligence":[137],"can":[138],"experience":[142],"work":[148],"will":[149],"demonstrate":[150],"live":[152],"system":[153],"capable":[154],"classify":[156],"explain":[158],"athletes.":[162]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
