{"id":"https://openalex.org/W2281523041","doi":null,"title":"Low-complexity supervised learning for gesture and shape recognition","display_name":"Low-complexity supervised learning for gesture and shape recognition","publication_year":2014,"publication_date":"2014-07-17","ids":{"openalex":"https://openalex.org/W2281523041","mag":"2281523041"},"language":"en","primary_location":{"id":"pmh:oai:earsiv.sehir.edu.tr:11498/3021","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11498/3021","pdf_url":null,"source":{"id":"https://openalex.org/S4306401684","display_name":"Istanbul \u015eehir University Institutional Repository (Istanbul \u015eehir University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I13419840","host_organization_name":"Istanbul \u015eehir University","host_organization_lineage":["https://openalex.org/I13419840"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11498/3021","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016000782","display_name":"Sait Celebi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"\u00c7elebi, Sait","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5016000782"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9545999765396118,"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":0.9545999765396118,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.023399999365210533,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.002199999988079071,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/gesture-recognition","display_name":"gesture recognition","score":0.8740000128746033},{"id":"https://openalex.org/keywords/shape-recognition","display_name":"shape recognition","score":0.968999981880188},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"optical character recognition","score":0.8220000267028809},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"dynamic time warping","score":0.8629999756813049},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9539999961853027},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.7260000109672546},{"id":"https://openalex.org/keywords/low-complexity-classification","display_name":"low-complexity classification","score":0.7749999761581421},{"id":"https://openalex.org/keywords/real-time-recognition","display_name":"real-time recognition","score":0.6269999742507935},{"id":"https://openalex.org/keywords/human-computer-interaction","display_name":"human-computer interaction","score":0.7990000247955322}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.8500651121139526},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6996894478797913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6714825630187988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6523035168647766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6414234638214111},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6333311796188354},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5525927543640137},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5423470735549927},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.504130482673645},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.49377354979515076},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3621750771999359},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3559417128562927}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:earsiv.sehir.edu.tr:11498/3021","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11498/3021","pdf_url":null,"source":{"id":"https://openalex.org/S4306401684","display_name":"Istanbul \u015eehir University Institutional Repository (Istanbul \u015eehir University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I13419840","host_organization_name":"Istanbul \u015eehir University","host_organization_lineage":["https://openalex.org/I13419840"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"}],"best_oa_location":{"id":"pmh:oai:earsiv.sehir.edu.tr:11498/3021","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11498/3021","pdf_url":null,"source":{"id":"https://openalex.org/S4306401684","display_name":"Istanbul \u015eehir University Institutional Repository (Istanbul \u015eehir University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I13419840","host_organization_name":"Istanbul \u015eehir University","host_organization_lineage":["https://openalex.org/I13419840"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W24121424","https://openalex.org/W102499664","https://openalex.org/W170732776","https://openalex.org/W192646177","https://openalex.org/W1520812622","https://openalex.org/W1575431606","https://openalex.org/W1980516134","https://openalex.org/W1981380110","https://openalex.org/W2006235059","https://openalex.org/W2020243185","https://openalex.org/W2022171669","https://openalex.org/W2024986448","https://openalex.org/W2049800082","https://openalex.org/W2050831357","https://openalex.org/W2055075080","https://openalex.org/W2057175746","https://openalex.org/W2059144111","https://openalex.org/W2060280062","https://openalex.org/W2086699924","https://openalex.org/W2091735588","https://openalex.org/W2100588357","https://openalex.org/W2103853000","https://openalex.org/W2110203016","https://openalex.org/W2112796928","https://openalex.org/W2116494851","https://openalex.org/W2120240539","https://openalex.org/W2120544738","https://openalex.org/W2120701504","https://openalex.org/W2123157895","https://openalex.org/W2124120479","https://openalex.org/W2124386111","https://openalex.org/W2125834953","https://openalex.org/W2128160875","https://openalex.org/W2131296063","https://openalex.org/W2134450328","https://openalex.org/W2134917076","https://openalex.org/W2148877839","https://openalex.org/W2151103935","https://openalex.org/W2152752164","https://openalex.org/W2156301828","https://openalex.org/W2157548127","https://openalex.org/W2160040544","https://openalex.org/W2160754664","https://openalex.org/W2162359196","https://openalex.org/W2164598857","https://openalex.org/W2168392347","https://openalex.org/W2172156083","https://openalex.org/W2532926524","https://openalex.org/W2534678627","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W2026030280","https://openalex.org/W2751104392","https://openalex.org/W1550277507","https://openalex.org/W3022077170","https://openalex.org/W2147453376","https://openalex.org/W1979504189","https://openalex.org/W2486791310","https://openalex.org/W2110203016","https://openalex.org/W72718568","https://openalex.org/W3159858356"],"abstract_inverted_index":{"Classi":[0],"cation":[1,30,52,193],"is":[2,11,48,84,100,190,207,219,274],"a":[3,49,62,96,115,132,140,161,177,186,208,296,306,311],"machine":[4],"learning":[5],"task":[6],"in":[7,56,160,167,252],"which":[8,291],"the":[9,70,88,106,110,122,137,146,149,169,238,242,269,277,283,318,331],"objective":[10],"to":[12,17,60,86,102,120,127,202,221,276,317],"categorize":[13],"given":[14],"samples":[15],"according":[16],"their":[18],"attributes.":[19],"Gesture":[20,39],"Recognition":[21,25,40,45],"(GR)":[22],"and":[23,42,67,109,152,223,225,257,263,280,321],"Shape":[24],"(SR)":[26],"are":[27,163,244],"two":[28,92,172],"classi":[29,51,192,212],"examples.":[31],"Some":[32],"daily-life":[33],"applications":[34,59,199],"of":[35,98,117,198,211,271,334],"these":[36,128],"include":[37],"Hand":[38],"(HGR)":[41],"Optical":[43],"Character":[44],"(OCR).":[46],"GR":[47,264,284],"challenging":[50],"problem":[53,194],"often":[54],"used":[55],"human-computer":[57],"interaction":[58],"provide":[61],"natural":[63],"interface":[64],"between":[65,91,105,148,171],"user":[66],"computer.":[68],"Since":[69],"same":[71],"gesture":[72,123,162],"might":[73],"be":[74],"performed":[75],"with":[76,195,254],"di":[77],"erent":[78],"speeds,":[79],"Dynamic":[80],"Time":[81],"Warping":[82],"(DTW)":[83],"needed":[85],"nd":[87],"optimal":[89],"alignment":[90],"time":[93],"sequences.":[94,154],"Oftentimes":[95],"preprocessing":[97],"sequences":[99,138],"required":[101],"remove":[103],"variations":[104],"reference":[107,151],"gestures":[108],"test":[111,153,258],"gestures.":[112],"We":[113,175,247,266],"discuss":[114,304],"set":[116],"pre-processing":[118],"methods":[119],"make":[121],"recognition":[124,216],"mechanism":[125],"robust":[126],"variations.":[129],"DTW":[130,179],"computes":[131],"dissimilarity":[133],"measure":[134],"by":[135,144,184],"time-warping":[136],"on":[139,261],"per":[141],"sample":[142],"basis":[143],"using":[145,249],"distance":[147,170],"current":[150],"However,":[155],"all":[156],"body":[157],"joints":[158,183],"involved":[159],"not":[164],"equally":[165],"important":[166],"computing":[168],"sequence":[173],"samples.":[174],"propose":[176,248],"weighted":[178],"method":[180,260,273,295],"that":[181,268],"weights":[182],"optimizing":[185],"discriminant":[187],"ratio.":[188],"SR":[189],"another":[191],"increasing":[196],"number":[197],"from":[200],"OCR":[201,262,278],"pedestrian":[203],"detection.":[204],"Decision":[205],"tree":[206],"good":[209,297],"choice":[210],"er":[213],"for":[214,299,325],"shape":[215,326],"because":[217],"it":[218],"easy":[220],"implement":[222],"visualize":[224],"has":[226],"lower":[227],"computational":[228],"complexity.":[229],"Bagging":[230],"randomized":[231],"decision":[232],"trees":[233,243],"as":[234,310],"random":[235,250,255,312],"forests":[236,256],"increases":[237],"accuracy":[239,270],"rates":[240],"if":[241],"weakly":[245],"correlated.":[246],"rectangles":[251],"combination":[253],"our":[259,272,293,335],"datasets.":[265],"show":[267],"similar":[275,316],"state-of-the-art":[279],"better":[281],"than":[282],"state-of-the-art,":[285],"while":[286],"executing":[287],"signi":[288],"cantly":[289],"faster,":[290],"makes":[292],"proposed":[294],"t":[298],"real-time":[300],"object/shape":[301],"recognition.":[302,327],"Then":[303],"how":[305],"simple":[307],"feature":[308],"such":[309],"rectangle":[313],"can":[314],"perform":[315],"complex":[319],"statistical":[320],"structural":[322],"features":[323],"designed":[324],"Finally":[328],"we":[329],"analyze":[330],"e":[332],"ect":[333],"parameters.":[336]},"counts_by_year":[],"updated_date":"2026-07-02T06:18:51.028212","created_date":"2025-10-10T00:00:00"}
