{"id":"https://openalex.org/W4294167416","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9869198","title":"Development of Wheelchair Basketball Player Tracker Using LED and Omni-camera","display_name":"Development of Wheelchair Basketball Player Tracker Using LED and Omni-camera","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4294167416","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9869198"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan55306.2022.9869198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9869198","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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/A5101893272","display_name":"Kazuyuki Kojima","orcid":"https://orcid.org/0000-0003-1039-1749"},"institutions":[{"id":"https://openalex.org/I197425175","display_name":"Shonan Institute of Technology","ror":"https://ror.org/01bawqf59","country_code":"JP","type":"education","lineage":["https://openalex.org/I197425175"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuyuki Kojima","raw_affiliation_strings":["Shonan Institute of Technology,Faculty of Engineering,Fujisawa,Japan","Faculty of Engineering, Shonan Institute of Technology, Fujisawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shonan Institute of Technology,Faculty of Engineering,Fujisawa,Japan","institution_ids":["https://openalex.org/I197425175"]},{"raw_affiliation_string":"Faculty of Engineering, Shonan Institute of Technology, Fujisawa, Japan","institution_ids":["https://openalex.org/I197425175"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101893272"],"corresponding_institution_ids":["https://openalex.org/I197425175"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07147008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"191","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.8694999814033508,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.8694999814033508,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.8658999800682068,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/omnidirectional-camera","display_name":"Omnidirectional camera","score":0.7576591968536377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6937264800071716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6915318965911865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6383585333824158},{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.6211745142936707},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6185812950134277},{"id":"https://openalex.org/keywords/wheelchair","display_name":"Wheelchair","score":0.5984829664230347},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5852393507957458},{"id":"https://openalex.org/keywords/light-emitting-diode","display_name":"Light-emitting diode","score":0.5274268388748169},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4317304193973541},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.19934239983558655},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17165431380271912},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08378097414970398}],"concepts":[{"id":"https://openalex.org/C2777953668","wikidata":"https://www.wikidata.org/wiki/Q684116","display_name":"Omnidirectional camera","level":4,"score":0.7576591968536377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6937264800071716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6915318965911865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6383585333824158},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.6211745142936707},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6185812950134277},{"id":"https://openalex.org/C2781042323","wikidata":"https://www.wikidata.org/wiki/Q191931","display_name":"Wheelchair","level":2,"score":0.5984829664230347},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5852393507957458},{"id":"https://openalex.org/C176666156","wikidata":"https://www.wikidata.org/wiki/Q25504","display_name":"Light-emitting diode","level":2,"score":0.5274268388748169},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4317304193973541},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.19934239983558655},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17165431380271912},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08378097414970398},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan55306.2022.9869198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9869198","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2483433731","https://openalex.org/W2741438410","https://openalex.org/W2904754194","https://openalex.org/W3163521357"],"related_works":["https://openalex.org/W2898919627","https://openalex.org/W4379536980","https://openalex.org/W2564554735","https://openalex.org/W2666300258","https://openalex.org/W1989062809","https://openalex.org/W2118689766","https://openalex.org/W2625795345","https://openalex.org/W2215517927","https://openalex.org/W2137384304","https://openalex.org/W114721022"],"abstract_inverted_index":{"This":[0,49],"paper":[1],"describes":[2],"the":[3,32,36,57],"development":[4],"of":[5],"a":[6],"tracker":[7],"for":[8],"basketball":[9],"wheelchair":[10],"players":[11],"using":[12],"special":[13],"flashing":[14],"LEDs":[15,30,64],"and":[16],"an":[17],"omnidirectional":[18,37],"camera.":[19,38],"Our":[20],"previous":[21],"trackers":[22],"required":[23],"some":[24],"image":[25,44],"processing":[26],"to":[27,55,61],"find":[28,62],"multiple":[29,63],"in":[31,65],"video":[33],"captured":[34],"by":[35],"The":[39],"problem":[40],"was":[41],"that":[42,66],"these":[43],"processes":[45],"were":[46],"time":[47,58],"consuming.":[48],"study":[50],"uses":[51],"convolutional":[52],"neural":[53],"networks":[54],"reduce":[56],"it":[59],"takes":[60],"video.":[67]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}