{"id":"https://openalex.org/W2978336844","doi":"https://doi.org/10.1587/transinf.2019edl8017","title":"Low-Cost Method for Recognizing Table Tennis Activity","display_name":"Low-Cost Method for Recognizing Table Tennis Activity","publication_year":2019,"publication_date":"2019-09-30","ids":{"openalex":"https://openalex.org/W2978336844","doi":"https://doi.org/10.1587/transinf.2019edl8017","mag":"2978336844"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2019edl8017","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edl8017","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/10/E102.D_2019EDL8017/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/10/E102.D_2019EDL8017/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067480025","display_name":"Se-Min Lim","orcid":"https://orcid.org/0000-0002-9810-0485"},"institutions":[{"id":"https://openalex.org/I4210161052","display_name":"Korea University","ror":"https://ror.org/05m1gnk07","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210161052"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Se-Min LIM","raw_affiliation_strings":["Dept. of Electronic and Information Eng., Korea Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronic and Information Eng., Korea Univ","institution_ids":["https://openalex.org/I4210161052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644682","display_name":"Jooyoung Park","orcid":"https://orcid.org/0000-0002-8949-593X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jooyoung PARK","raw_affiliation_strings":["Dept. of Control and Instrumentation Eng.,  Korea Univ","Dept. of Control and Instrumentation Eng., Korea Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Control and Instrumentation Eng.,  Korea Univ","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Dept. of Control and Instrumentation Eng., Korea Univ","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108414284","display_name":"Hyeong-Cheol Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161052","display_name":"Korea University","ror":"https://ror.org/05m1gnk07","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210161052"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hyeong-Cheol OH","raw_affiliation_strings":["Dept. of Electronic and Information Eng., Korea Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronic and Information Eng., Korea Univ","institution_ids":["https://openalex.org/I4210161052"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10647983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"E102.D","issue":"10","first_page":"2051","last_page":"2054"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9973000288009644,"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"}},"topics":[{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9973000288009644,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9914000034332275,"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/computer-science","display_name":"Computer science","score":0.8290484547615051},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.7976337671279907},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7418066263198853},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7160462141036987},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.6639899015426636},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.6557587385177612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6191520094871521},{"id":"https://openalex.org/keywords/coaching","display_name":"Coaching","score":0.5151392221450806},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48253628611564636},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45974522829055786},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.4120878577232361},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2889094948768616},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.26206889748573303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8290484547615051},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.7976337671279907},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7418066263198853},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7160462141036987},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.6639899015426636},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6557587385177612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6191520094871521},{"id":"https://openalex.org/C2779363792","wikidata":"https://www.wikidata.org/wiki/Q1104185","display_name":"Coaching","level":2,"score":0.5151392221450806},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48253628611564636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45974522829055786},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.4120878577232361},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2889094948768616},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26206889748573303},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2019edl8017","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edl8017","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/10/E102.D_2019EDL8017/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2019edl8017","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edl8017","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/10/E102.D_2019EDL8017/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4099999964237213,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321373","display_name":"Korea University","ror":"https://ror.org/047dqcg40"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2978336844.pdf","grobid_xml":"https://content.openalex.org/works/W2978336844.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1576227399","https://openalex.org/W2002261403","https://openalex.org/W2101234009","https://openalex.org/W2122585011","https://openalex.org/W2247209766","https://openalex.org/W2402144811","https://openalex.org/W2561458061","https://openalex.org/W2767979715","https://openalex.org/W2793681642","https://openalex.org/W2900675262","https://openalex.org/W2997106510"],"related_works":["https://openalex.org/W2389818373","https://openalex.org/W126212742","https://openalex.org/W2220831889","https://openalex.org/W1948687848","https://openalex.org/W2056226831","https://openalex.org/W2953417386","https://openalex.org/W3013312691","https://openalex.org/W3027421045","https://openalex.org/W4312683641","https://openalex.org/W2576320324"],"abstract_inverted_index":{"This":[0],"study":[1],"designs":[2],"a":[3,10,25,52],"low-cost":[4],"portable":[5],"device":[6],"that":[7,44],"functions":[8],"as":[9],"coaching":[11],"assistant":[12,63],"system":[13,64],"which":[14],"can":[15,50],"support":[16],"table":[17],"tennis":[18],"practice.":[19],"Although":[20],"deep":[21,57],"learning":[22,58],"technology":[23],"is":[24],"promising":[26],"solution":[27],"to":[28,55],"realizing":[29],"human":[30],"activity":[31],"recognition,":[32],"we":[33],"propose":[34],"using":[35],"cosine":[36,46],"similarity":[37,47],"in":[38],"making":[39],"inferences.":[40],"Our":[41],"experiments":[42],"show":[43],"the":[45,56,62],"based":[48,59],"inference":[49,60],"be":[51],"good":[53],"alternative":[54],"for":[61],"when":[65],"resources":[66],"are":[67],"limited.":[68]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}