{"id":"https://openalex.org/W2898073144","doi":"https://doi.org/10.1145/3265845.3265855","title":"A Convolutional Sequence to Sequence Model for Multimodal Dynamics Prediction in Ski Jumps","display_name":"A Convolutional Sequence to Sequence Model for Multimodal Dynamics Prediction in Ski Jumps","publication_year":2018,"publication_date":"2018-10-19","ids":{"openalex":"https://openalex.org/W2898073144","doi":"https://doi.org/10.1145/3265845.3265855","mag":"2898073144"},"language":"en","primary_location":{"id":"doi:10.1145/3265845.3265855","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3265845.3265855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/61103/61103.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035633645","display_name":"Dan Zecha","orcid":null},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Dan Zecha","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007553837","display_name":"Christian Eggert","orcid":null},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Eggert","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033753652","display_name":"Moritz Einfalt","orcid":null},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Moritz Einfalt","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015101510","display_name":"Stephan Brehm","orcid":null},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephan Brehm","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009744749","display_name":"Rainer Lienhart","orcid":"https://orcid.org/0000-0003-4007-6889"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Lienhart","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035633645"],"corresponding_institution_ids":["https://openalex.org/I179225836"],"apc_list":null,"apc_paid":null,"fwci":1.0901,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.7937697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13176","display_name":"Winter Sports Injuries and Performance","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13176","display_name":"Winter Sports Injuries and Performance","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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":0.98089998960495,"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/T10644","display_name":"Cryospheric studies and observations","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.7363169193267822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6555048823356628},{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.6370742321014404},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.5338002443313599},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5328835248947144},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5247207880020142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5217931270599365},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.45879384875297546},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4425176978111267},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4276677072048187},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33408451080322266},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.328921914100647},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2448810636997223},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14739200472831726}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.7363169193267822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6555048823356628},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.6370742321014404},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.5338002443313599},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5328835248947144},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5247207880020142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5217931270599365},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.45879384875297546},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4425176978111267},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4276677072048187},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33408451080322266},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.328921914100647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2448810636997223},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14739200472831726},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3265845.3265855","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3265845.3265855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports","raw_type":"proceedings-article"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:61103","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-611036","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/61103/61103.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"bookpart"}],"best_oa_location":{"id":"pmh:oai:uni-augsburg.opus-bayern.de:61103","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-611036","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/61103/61103.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"bookpart"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2898073144.pdf","grobid_xml":"https://content.openalex.org/works/W2898073144.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W2064675550","https://openalex.org/W2099238445","https://openalex.org/W2107878631","https://openalex.org/W2128271252","https://openalex.org/W2167569397","https://openalex.org/W2167747244","https://openalex.org/W2181623680","https://openalex.org/W2194775991","https://openalex.org/W2257000838","https://openalex.org/W2271155703","https://openalex.org/W2301880263","https://openalex.org/W2535579907","https://openalex.org/W2540404261","https://openalex.org/W2783000019","https://openalex.org/W2792764867","https://openalex.org/W2949117887","https://openalex.org/W2949382160","https://openalex.org/W2951188428","https://openalex.org/W2963548793","https://openalex.org/W2963970792","https://openalex.org/W2964199361","https://openalex.org/W2964203186","https://openalex.org/W2964265128","https://openalex.org/W2964304707","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2351666715","https://openalex.org/W1967543778","https://openalex.org/W2757332726","https://openalex.org/W2102148524","https://openalex.org/W2382902960"],"abstract_inverted_index":{"A":[0],"convolutional":[1,63],"sequence":[2,4,64,66],"to":[3,59,65,99],"model":[5],"for":[6,42,68],"predicting":[7,69],"the":[8,22,30,50,74,80,101,108,119],"jump":[9,70],"forces":[10,71],"of":[11,24,32,89,103],"ski":[12],"jumpers":[13],"directly":[14,72],"from":[15,73],"pose":[16,52],"estimates":[17],"is":[18,46,57],"presented.":[19],"We":[20,77],"collect":[21],"footage":[23],"multiple,":[25],"unregistered":[26],"cameras":[27],"together":[28],"with":[29],"output":[31],"force":[33,93,105],"measurement":[34],"plates":[35],"and":[36],"present":[37],"a":[38,61,85],"spatiotemporal":[39],"calibration":[40],"procedure":[41],"all":[43],"modalities":[44],"which":[45],"merely":[47],"based":[48],"on":[49,91],"athlete's":[51],"estimates.":[53],"The":[54],"synchronized":[55],"data":[56],"used":[58],"train":[60],"fully":[62],"network":[67],"human":[75],"pose.":[76],"demonstrate":[78],"that":[79],"best":[81],"performing":[82],"networks":[83],"produce":[84],"mean":[86],"squared":[87],"error":[88],"0.062":[90],"normalized":[92],"time":[94],"series":[95],"while":[96],"being":[97],"able":[98],"identify":[100],"moment":[102],"maximal":[104],"occurrence":[106],"in":[107],"original":[109],"video":[110],"at":[111],"55%":[112],"recall":[113],"within":[114],"+-":[115],"2":[116],"frames":[117],"around":[118],"ground":[120],"truth.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
