{"id":"https://openalex.org/W2797999817","doi":"https://doi.org/10.1109/sas.2018.8336712","title":"Sensors and data retention in grand Slam tennis","display_name":"Sensors and data retention in grand Slam tennis","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2797999817","doi":"https://doi.org/10.1109/sas.2018.8336712","mag":"2797999817"},"language":"en","primary_location":{"id":"doi:10.1109/sas.2018.8336712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sas.2018.8336712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Sensors Applications Symposium (SAS)","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/A5110879394","display_name":"Anna Larson","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anna Larson","raw_affiliation_strings":["Computer and Information Technology Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Computer and Information Technology Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112090024","display_name":"Anthony Smith","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony Smith","raw_affiliation_strings":["Computer and Information Technology Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Computer and Information Technology Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110879394"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.109,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.42445225,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12677","display_name":"Sports Dynamics and Biomechanics","score":0.9980999827384949,"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/T12677","display_name":"Sports Dynamics and Biomechanics","score":0.9980999827384949,"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/T10157","display_name":"Sports Performance and Training","score":0.9958999752998352,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.6633075475692749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6482558846473694},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.48467424511909485},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.47488826513290405},{"id":"https://openalex.org/keywords/tennis-ball","display_name":"Tennis ball","score":0.4684087634086609},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4633052945137024},{"id":"https://openalex.org/keywords/aeronautics","display_name":"Aeronautics","score":0.45986270904541016},{"id":"https://openalex.org/keywords/championship","display_name":"Championship","score":0.44440793991088867},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4289293885231018},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40432828664779663},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3611783981323242},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.2703648805618286},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2439606785774231},{"id":"https://openalex.org/keywords/sports-equipment","display_name":"sports equipment","score":0.18019455671310425},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.1325312852859497}],"concepts":[{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.6633075475692749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6482558846473694},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.48467424511909485},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.47488826513290405},{"id":"https://openalex.org/C2992174615","wikidata":"https://www.wikidata.org/wiki/Q246514","display_name":"Tennis ball","level":3,"score":0.4684087634086609},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4633052945137024},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.45986270904541016},{"id":"https://openalex.org/C2779501167","wikidata":"https://www.wikidata.org/wiki/Q1079023","display_name":"Championship","level":2,"score":0.44440793991088867},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4289293885231018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40432828664779663},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3611783981323242},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2703648805618286},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2439606785774231},{"id":"https://openalex.org/C2780101202","wikidata":"https://www.wikidata.org/wiki/Q768186","display_name":"sports equipment","level":2,"score":0.18019455671310425},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.1325312852859497},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sas.2018.8336712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sas.2018.8336712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Sensors Applications Symposium (SAS)","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":9,"referenced_works":["https://openalex.org/W603192908","https://openalex.org/W1966554111","https://openalex.org/W1998843577","https://openalex.org/W2001917337","https://openalex.org/W2076398490","https://openalex.org/W2102826848","https://openalex.org/W2170682191","https://openalex.org/W2522284812","https://openalex.org/W4240147058"],"related_works":["https://openalex.org/W3126131865","https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W2009888974","https://openalex.org/W2355539379","https://openalex.org/W2056341223","https://openalex.org/W4253186488","https://openalex.org/W4231410700"],"abstract_inverted_index":{"Tiny":[0],"machines":[1],"have":[2,166],"been":[3],"used":[4],"to":[5,56,72,76,98,110,153,181],"analyze":[6],"information":[7,75,154],"in":[8,28,58,80,201,208],"many":[9],"sports;":[10],"these":[11,183,194],"chips":[12],"are":[13,50,151],"called":[14],"MEMS.":[15],"MEMS":[16,55],"can":[17,95,179],"track":[18],"calories":[19],"burned":[20],"and":[21,38,48,127,147,203],"heart":[22],"rate,":[23],"as":[24,26,46,62,64,83],"well":[25,63],"aid":[27,57],"boosting":[29],"sports":[30],"performance":[31],"by":[32],"moving":[33],"sensors":[34],"off":[35],"the":[36,59,65,70,102,111,115,122,156,168,171,191,213],"body":[37],"into":[39],"equipment,":[40],"like":[41],"tennis":[42,163],"rackets.":[43],"Companies":[44],"such":[45,82],"Babolat":[47],"IBM":[49,118],"using":[51],"sensor":[52,74],"fusion":[53],"of":[54,91,145,160,175,185,193],"fan":[60],"experience":[61],"player's":[66],"knowledge.":[67],"ICAN":[68],"had":[69],"idea":[71],"receive":[73],"provide":[77],"feedback,":[78],"aiding":[79],"learning,":[81],"alerting":[84],"coaches,":[85],"parents,":[86],"teachers,":[87],"or":[88,100],"any":[89],"type":[90],"advisor":[92],"so":[93],"they":[94],"alert":[96],"how":[97],"correct":[99,103],"develop":[101],"movement.":[104],"There":[105],"is":[106],"also":[107,120],"technology":[108],"given":[109],"fans,":[112],"specifically":[113],"at":[114],"US":[116],"Open.":[117],"has":[119],"developed":[121],"Slamtracker,":[123],"providing":[124],"instant":[125],"analytics":[126],"insights.":[128],"The":[129],"Slamtracker":[130],"gathers":[131],"data":[132,169],"from":[133,170],"courtside":[134],"statisticians,":[135],"chair":[136],"umpires,":[137],"radar":[138],"guns,":[139],"ball":[140],"position,":[141],"player":[142],"location,":[143],"pace":[144],"play,":[146],"baseline":[148],"proximity,":[149],"which":[150],"compared":[152],"for":[155],"last":[157],"eight":[158],"years":[159,174],"Grand":[161],"Slam":[162],"data.":[164],"We":[165],"analyzed":[167],"past":[172],"three":[173,176],"players":[177],"who":[178],"say":[180],"use":[182,192],"methods":[184],"improving":[186],"their":[187,206],"game.":[188],"Based":[189],"on":[190,212],"technologies":[195],"we":[196],"found":[197],"a":[198],"significant":[199],"increase":[200],"viewership":[202],"Players":[204],"increased":[205],"standings":[207],"all":[209],"cases":[210],"based":[211],"statistical":[214],"analysis.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
