{"id":"https://openalex.org/W3046997963","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156244","title":"Shoot Like Ronaldo: Predict Soccer Penalty Outcome with Wearables","display_name":"Shoot Like Ronaldo: Predict Soccer Penalty Outcome with Wearables","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3046997963","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156244","mag":"3046997963"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops48775.2020.9156244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","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/A5004571893","display_name":"Avijoy Chakma","orcid":"https://orcid.org/0000-0001-6818-8327"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Avijoy Chakma","raw_affiliation_strings":["Department of Informations System, University of Maryland Baltimore County"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informations System, University of Maryland Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073506699","display_name":"Abu Zaher Md Faridee","orcid":"https://orcid.org/0000-0002-8324-1197"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abu Zaher Md Faridee","raw_affiliation_strings":["Department of Informations System, University of Maryland Baltimore County"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informations System, University of Maryland Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068320631","display_name":"Nirmalya Roy","orcid":"https://orcid.org/0000-0003-4827-3393"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nirmalya Roy","raw_affiliation_strings":["Department of Informations System, University of Maryland Baltimore County"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informations System, University of Maryland Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027555291","display_name":"H M Sajjad Hossain","orcid":"https://orcid.org/0000-0001-9847-6493"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"H M Sajjad Hossain","raw_affiliation_strings":["Microsoft"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004571893"],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":0.7054,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.66566311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/T10157","display_name":"Sports Performance and Training","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.9991000294685364,"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/T12677","display_name":"Sports Dynamics and Biomechanics","score":0.9976000189781189,"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/T11246","display_name":"Sports injuries and prevention","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7484609484672546},{"id":"https://openalex.org/keywords/ball","display_name":"Ball (mathematics)","score":0.6996822357177734},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.585265040397644},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5750150084495544},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.5717883110046387},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5464994311332703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5438147783279419},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5343852043151855},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.5051704049110413},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.43749070167541504},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3571220636367798},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35710257291793823},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3282269835472107},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10627928376197815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7484609484672546},{"id":"https://openalex.org/C122041747","wikidata":"https://www.wikidata.org/wiki/Q838611","display_name":"Ball (mathematics)","level":2,"score":0.6996822357177734},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.585265040397644},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5750150084495544},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.5717883110046387},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5464994311332703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5438147783279419},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5343852043151855},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.5051704049110413},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.43749070167541504},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3571220636367798},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35710257291793823},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3282269835472107},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10627928376197815},{"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/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomworkshops48775.2020.9156244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","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":21,"referenced_works":["https://openalex.org/W14996564","https://openalex.org/W1984177481","https://openalex.org/W1999920041","https://openalex.org/W2042226652","https://openalex.org/W2101234009","https://openalex.org/W2135869451","https://openalex.org/W2187932643","https://openalex.org/W2518265191","https://openalex.org/W2610980258","https://openalex.org/W2744072030","https://openalex.org/W2761503869","https://openalex.org/W2785980750","https://openalex.org/W2798405286","https://openalex.org/W2890013721","https://openalex.org/W2899771611","https://openalex.org/W2962387962","https://openalex.org/W2963560614","https://openalex.org/W6600650479","https://openalex.org/W6675354045","https://openalex.org/W6686914157","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2095299560","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W2999186374"],"abstract_inverted_index":{"A":[0],"penalty":[1,102,195],"shot":[2,213],"is":[3,90],"a":[4,9,16,29,32,83,95,128,161,193,207,226],"crucial":[5,145],"opportunity":[6],"of":[7,31,40,65,72,91,121,131,153,169,229],"scoring":[8],"goal":[10,171,187,232],"in":[11,54,81,225],"soccer":[12,97],"and":[13,34,63,104,134,141,151,189,215],"often":[14],"becomes":[15],"game-winning":[17],"factor.":[18],"The":[19],"goalkeeper":[20],"has":[21],"to":[22,37,77,94,146,165],"guess":[23],"the":[24,41,48,59,68,116,122,136,148,154,167,174,186,212,235],"ball":[25,117],"flight":[26],"trajectory":[27,152],"within":[28],"fraction":[30],"second":[33],"typically":[35],"jumps":[36],"either":[38],"side":[39],"goalpost":[42],"taking":[43],"(often":[44],"mistakenly)":[45],"cues":[46,51],"from":[47,173,202,234],"kicker.":[49],"These":[50],"are":[52,109],"postulated":[53],"goalkeeper's":[55],"mind":[56],"based":[57],"on":[58,192],"kicker's":[60,175],"posture,":[61],"run-up,":[62],"angle":[64],"attack":[66],"at":[67,113],"ball.":[69],"Statistical":[70],"analysis":[71],"historical":[73],"data":[74,191,237],"helps":[75],"pundits":[76],"identify":[78],"beneficial":[79],"strategies":[80],"such":[82],"competitive":[84],"environment":[85],"but":[86],"these":[87],"tactical":[88],"knowledge":[89],"marginal":[92],"help":[93],"novice":[96],"player":[98],"for":[99,211],"improving":[100],"their":[101,132],"kickout":[103],"blocking":[105,142],"skills.":[106],"Oftentimes,":[107],"players":[108,126],"not":[110],"equally":[111],"skilled":[112],"successfully":[114],"placing":[115],"around":[118],"different":[119,231],"sections":[120],"goalpost.":[123],"To":[124],"empower":[125],"with":[127],"retrospective":[129],"view":[130],"performance":[133],"identifying":[135],"strong":[137],"versus":[138],"weak":[139],"shots,":[140],"capabilities,":[143],"it's":[144],"detect":[147,166],"direction,":[149],"force,":[150],"shots.":[155],"In":[156],"this":[157],"work,":[158],"we":[159,216],"propose":[160],"wearable":[162],"sensor-based":[163],"approach":[164,210],"outcome":[168],"various":[170],"shots":[172,233],"dominant":[176],"foot":[177],"movement":[178],"profile.":[179],"We":[180,205],"empirically":[181],"assign":[182],"six":[183],"hot-zones":[184],"inside":[185],"post":[188],"collect":[190],"real-life":[194],"shoot-out":[196],"using":[197],"economically":[198],"available":[199],"accelerometer":[200],"sensors":[201],"four":[203],"participants.":[204],"develop":[206],"deep":[208],"learning":[209],"classification":[214],"report":[217],"superior":[218],"(53%)":[219],"accuracy":[220],"over":[221],"traditional":[222],"approaches":[223],"(47%)":[224],"challenging":[227],"setting":[228],"recognizing":[230],"segmented":[236],"stream.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-25T08:39:21.599409","created_date":"2025-10-10T00:00:00"}
