{"id":"https://openalex.org/W3133521499","doi":"https://doi.org/10.1108/cw-06-2020-0106","title":"Performance evaluation of SVM-based hand gesture detection and recognition system using distance transform on different data sets for autonomous vehicle moving applications","display_name":"Performance evaluation of SVM-based hand gesture detection and recognition system using distance transform on different data sets for autonomous vehicle moving applications","publication_year":2021,"publication_date":"2021-03-05","ids":{"openalex":"https://openalex.org/W3133521499","doi":"https://doi.org/10.1108/cw-06-2020-0106","mag":"3133521499"},"language":"en","primary_location":{"id":"doi:10.1108/cw-06-2020-0106","doi":"https://doi.org/10.1108/cw-06-2020-0106","is_oa":false,"landing_page_url":"https://doi.org/10.1108/cw-06-2020-0106","pdf_url":null,"source":{"id":"https://openalex.org/S4336438","display_name":"Circuit World","issn_l":"0305-6120","issn":["0305-6120","1758-602X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Circuit World","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5028172322","display_name":"P S Neethu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neethu P.S.","raw_affiliation_strings":["Information and Communication Department, Anna University Chennai, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Communication Department, Anna University Chennai, Chennai, India","institution_ids":["https://openalex.org/I33585257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014479711","display_name":"Ramadass Suguna","orcid":"https://orcid.org/0000-0002-8930-9092","observed_orcids":["https://orcid.org/0000-0002-8930-9092"]},"institutions":[{"id":"https://openalex.org/I1330855593","display_name":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology","ror":"https://ror.org/05bc5bx80","country_code":"IN","type":"education","lineage":["https://openalex.org/I1330855593"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suguna R.","raw_affiliation_strings":["Department of Computer Science, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India","institution_ids":["https://openalex.org/I1330855593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034581895","display_name":"S. Palanivel Rajan","orcid":"https://orcid.org/0000-0003-3184-0961","observed_orcids":["https://orcid.org/0000-0003-3184-0961"]},"institutions":[{"id":"https://openalex.org/I4387154466","display_name":"M. Kumarasamy College of Engineering","ror":"https://ror.org/03z0n5k81","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387154466"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Palanivel Rajan S.","raw_affiliation_strings":["Department of Electronics and Communication Engineering, M. Kumarasamy College of Engineering, Karur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, M. Kumarasamy College of Engineering, Karur, India","institution_ids":["https://openalex.org/I4387154466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9803,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.84595336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":99},"biblio":{"volume":"48","issue":"2","first_page":"204","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"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/T10828","display_name":"Biometric Identification and Security","score":0.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.0,"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/hand-gesture-recognition","display_name":"hand gesture recognition","score":0.9589999914169312},{"id":"https://openalex.org/keywords/hand-gesture-detection","display_name":"hand gesture detection","score":0.949999988079071},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9160000085830688},{"id":"https://openalex.org/keywords/distance-transform","display_name":"distance transform","score":0.9890000224113464},{"id":"https://openalex.org/keywords/fingertip-detection","display_name":"fingertip detection","score":0.8180000185966492},{"id":"https://openalex.org/keywords/ycbcr-color-space","display_name":"YCbCr color space","score":0.9039999842643738},{"id":"https://openalex.org/keywords/autonomous-vehicles","display_name":"autonomous vehicles","score":0.7490000128746033},{"id":"https://openalex.org/keywords/gesture-control","display_name":"gesture control","score":0.46399998664855957},{"id":"https://openalex.org/keywords/recognition-rate","display_name":"recognition rate","score":0.5379999876022339},{"id":"https://openalex.org/keywords/recognition-time","display_name":"recognition time","score":0.6150000095367432},{"id":"https://openalex.org/keywords/sensitivity-and-specificity","display_name":"sensitivity and specificity","score":0.4779999852180481},{"id":"https://openalex.org/keywords/centroid-estimation","display_name":"centroid detection","score":0.6060000061988831}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.865841269493103},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7739616632461548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7652634382247925},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6782270669937134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6663044691085815},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6582108736038208},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.6009896993637085},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5784939527511597},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5089514255523682},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4749586582183838},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.42058053612709045},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/cw-06-2020-0106","doi":"https://doi.org/10.1108/cw-06-2020-0106","is_oa":false,"landing_page_url":"https://doi.org/10.1108/cw-06-2020-0106","pdf_url":null,"source":{"id":"https://openalex.org/S4336438","display_name":"Circuit World","issn_l":"0305-6120","issn":["0305-6120","1758-602X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Circuit World","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W389677024","https://openalex.org/W1634774238","https://openalex.org/W1857636847","https://openalex.org/W2048883772","https://openalex.org/W2103923326","https://openalex.org/W2110252507","https://openalex.org/W2117683888","https://openalex.org/W2122393977","https://openalex.org/W2140289621","https://openalex.org/W2141861347","https://openalex.org/W2154914306","https://openalex.org/W2158141007","https://openalex.org/W2159584736","https://openalex.org/W2163546682","https://openalex.org/W2313507061","https://openalex.org/W2330668822","https://openalex.org/W2332114019","https://openalex.org/W2409876247","https://openalex.org/W2593033495","https://openalex.org/W2610313712","https://openalex.org/W2625716979","https://openalex.org/W2735305063","https://openalex.org/W2751461368","https://openalex.org/W2754419040","https://openalex.org/W2793001179"],"related_works":["https://openalex.org/W2358160519","https://openalex.org/W2097979674","https://openalex.org/W3003233465","https://openalex.org/W2140289621","https://openalex.org/W2035995045","https://openalex.org/W1634774238","https://openalex.org/W7005453655","https://openalex.org/W2965130063","https://openalex.org/W3166192986","https://openalex.org/W2533863441"],"abstract_inverted_index":{"Purpose":[0],"This":[1,137,275,483,504,523,531],"paper":[2,138,276],"aims":[3],"to":[4,99,135,231,249,294],"propose":[5],"a":[6,93,109,133,140,278,541,548],"novel":[7,141,279],"methodology":[8,142,280,309,335,361,386,431,490],"for":[9,132,143,281,454,473,491],"classifying":[10,144,282],"the":[11,21,55,62,72,82,86,97,115,145,152,183,190,194,200,233,236,242,260,271,283,296,300,426,512,521,537,555],"gestures":[12,126,146,284],"using":[13,76,147,204,285],"support":[14],"vector":[15],"machine":[16,134],"(SVM)":[17],"classification":[18,78,149,206,213,287],"method.":[19,150,288],"Initially,":[20,151],"Red":[22],"Green":[23],"Blue":[24],"color":[25,153],"hand":[26,118,154,210,228,306,332,358,383,428,456,527,532,539,560],"gesture":[27,155,211,229,307,333,359,384,429,457,528,533],"image":[28,33,156,161,212,550],"is":[29,43,52,69,92,157,171,180,197,215,245,292,422,451,524],"converted":[30,158],"into":[31,159],"YCbCr":[32,160],"in":[34,162,479],"preprocessing":[35,163],"stage":[36,164],"and":[37,71,130,165,199,217,224,253,320,346,372,410,551],"then":[38,166],"palm":[39,56,67,88,167,184,195,302],"with":[40,57,168,185,247,270,442,459,499,520,554],"finger":[41,58,169,186],"region":[42,68,170,196],"segmented":[44,59,172,187,301],"by":[45,173],"threshold":[46,174],"process.":[47,175],"Then,":[48,176],"distance":[49,177],"transformation":[50,178],"method":[51,179,262,291],"applied":[53,181,216],"on":[54,81,182,219,263,325,351,377,393,404,416,436,508],"image.":[60,188],"Further,":[61,189],"center":[63,191,297],"point":[64,192,298],"(centroid)":[65],"of":[66,85,96,117,123,193,235,241,259,299,312,315,318,322,338,341,344,348,364,367,370,374,470,544,559],"detected":[70,75,83,87,198,203],"fingertips":[73,201],"are":[74,127,202,268],"SVM":[77,148,205,286],"algorithm":[79],"based":[80],"centroids":[84],"region.":[89,303],"Design/methodology/approach":[90],"Gesture":[91],"physical":[94,542],"indication":[95],"body":[98],"convey":[100],"information.":[101],"Though":[102],"any":[103,518],"bodily":[104],"movement":[105,116,543],"can":[106,514],"be":[107,515],"considered":[108],"gesture,":[110],"generally":[111],"it":[112],"originates":[113],"from":[114],"or":[119,121,493,497,500],"face":[120],"combination":[122],"both.":[124],"Combined":[125],"quiet":[128],"complex":[129],"difficult":[131],"classify.":[136],"proposes":[139,277],"algorithm.":[207],"The":[208,239,256,304,330,356,381,464],"proposed":[209,237,243,261,305,331,357,382,427],"system":[214,244,535],"tested":[218],"\u201cJochen":[220,326,394],"Triesch,\u201d":[221],"\u201cSebastien":[222,352,405],"Marcel\u201d":[223,353,406],"\u201c11Khands\u201d":[225,378,417,437],"data":[226,266,328,354,379,396,407,418,438,444,449],"set":[227,397,408,419,439,445,450,558],"images":[230,409],"evaluate":[232],"efficiency":[234],"system.":[238,530],"performance":[240],"analyzed":[246],"respect":[248],"sensitivity,":[250,313,339,365],"specificity,":[251,316,342,368],"accuracy":[252,319,345,371],"recognition":[254,323,349,375,391,402,414,434,529,534],"rate.":[255],"simulation":[257],"results":[258],"these":[264],"different":[265],"sets":[267],"compared":[269,441],"conventional":[272],"methods.":[273],"Findings":[274],"Distance":[289],"transform":[290],"used":[293],"detect":[295],"detection":[308,334,360,385,430],"achieves":[310,336,362],"96.5%":[311],"97.1%":[314],"96.9%":[317],"99.3%":[321],"rate":[324,350,376,435],"Triesch\u201d":[327,395],"set.":[329,355,380],"94.6%":[337],"95.4%":[340],"95.3%":[343],"97.8%":[347],"97%":[363],"98%":[366],"98.1%":[369],"98.8%":[373],"consumes":[387,432],"0.52":[388],"s":[389,400,412],"as":[390,401,413,547],"time":[392,403,415],"images,":[398],"0.71":[399],"0.22":[411],"images.":[420,446],"It":[421],"very":[423,452],"clear":[424],"that":[425],"less":[433],"when":[440],"other":[443],"Hence,":[447],"this":[448],"suitable":[453],"real-time":[455,538],"applications":[458],"multi":[460],"background":[461],"environments.":[462],"Originality/value":[463],"modern":[465],"world":[466],"requires":[467],"more":[468],"numbers":[469],"automated":[471,509],"systems":[472],"improving":[474],"our":[475],"daily":[476],"routine":[477],"activities":[478],"an":[480],"efficient":[481],"manner.":[482],"present":[484],"day":[485],"technology":[486],"emerges":[487],"touch":[488],"screen":[489],"operating":[492],"functioning":[494],"many":[495],"devices":[496],"machines":[498],"without":[501,517],"wire":[502],"connections.":[503],"also":[505],"makes":[506],"impact":[507],"vehicles":[510,513],"where":[511],"operated":[516],"interfacing":[519],"driver.":[522],"possible":[525],"through":[526],"captures":[536],"gestures,":[540],"human":[545],"hand,":[546],"digital":[549],"recognizes":[552],"them":[553],"pre":[556],"stored":[557],"gestures.":[561]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-03-15T00:00:00"}