{"id":"https://openalex.org/W1982310608","doi":"https://doi.org/10.1109/icacci.2014.6968215","title":"Static gesture recognition using PMD ToF camera","display_name":"Static gesture recognition using PMD ToF camera","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W1982310608","doi":"https://doi.org/10.1109/icacci.2014.6968215","mag":"1982310608"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2014.6968215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2014.6968215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074886886","display_name":"Mandar Kulkarni","orcid":"https://orcid.org/0000-0002-9005-9553"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mandar Kulkarni","raw_affiliation_strings":["IFM enginnering pvt.ltd, Pune, India","ifm engineering pvt.ltd, Pune 411021, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IFM enginnering pvt.ltd, Pune, India","institution_ids":[]},{"raw_affiliation_string":"ifm engineering pvt.ltd, Pune 411021, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010162955","display_name":"Jitesh Butala","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jitesh Butala","raw_affiliation_strings":["IFM enginnering pvt.ltd, Pune, India","ifm engineering pvt.ltd, Pune 411021, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IFM enginnering pvt.ltd, Pune, India","institution_ids":[]},{"raw_affiliation_string":"ifm engineering pvt.ltd, Pune 411021, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067219993","display_name":"V. Udpikar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vishwas Udpikar","raw_affiliation_strings":["IFM enginnering pvt.ltd, Pune, India","ifm engineering pvt.ltd, Pune 411021, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IFM enginnering pvt.ltd, Pune, India","institution_ids":[]},{"raw_affiliation_string":"ifm engineering pvt.ltd, Pune 411021, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"2712","last_page":"2718"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9836000204086304,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9650999903678894,"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/gesture","display_name":"Gesture","score":0.8525367975234985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8262745141983032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.698206901550293},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6449382305145264},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5712147355079651},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5502071380615234},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5063961744308472},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.48834797739982605},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4787244498729706},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.4759240448474884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43920302391052246},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.304671049118042},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.1856108009815216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07774695754051208}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8525367975234985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8262745141983032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.698206901550293},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6449382305145264},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5712147355079651},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5502071380615234},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5063961744308472},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.48834797739982605},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4787244498729706},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.4759240448474884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43920302391052246},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.304671049118042},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.1856108009815216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07774695754051208},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2014.6968215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2014.6968215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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":24,"referenced_works":["https://openalex.org/W1479896847","https://openalex.org/W1545452920","https://openalex.org/W1971252500","https://openalex.org/W1993928670","https://openalex.org/W2008110769","https://openalex.org/W2044169976","https://openalex.org/W2053764153","https://openalex.org/W2075048802","https://openalex.org/W2087347434","https://openalex.org/W2089497633","https://openalex.org/W2105136937","https://openalex.org/W2107603586","https://openalex.org/W2112480082","https://openalex.org/W2152621471","https://openalex.org/W2153086520","https://openalex.org/W2473430330","https://openalex.org/W2535767987","https://openalex.org/W2979473749","https://openalex.org/W3027573219","https://openalex.org/W3097609957","https://openalex.org/W3149113639","https://openalex.org/W4239510810","https://openalex.org/W6648720341","https://openalex.org/W6720535117"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W3000465807","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W4394663664","https://openalex.org/W2014683590"],"abstract_inverted_index":{"Due":[0],"to":[1,26,122],"availability":[2],"of":[3,84,134],"reliable":[4],"and":[5,32,68,76,98,107,153],"low":[6],"cost":[7],"devices,":[8],"range":[9],"maps":[10],"(depth":[11],"maps)":[12],"are":[13],"extensively":[14],"used":[15],"in":[16,21,30,112,128,156],"many":[17],"applications.":[18],"Recent":[19],"advances":[20],"human-computer":[22],"interaction":[23],"enabled":[24],"us":[25],"interact":[27],"with":[28,80,89],"computers":[29],"intuitive":[31],"friendly":[33],"way.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38,137],"propose":[39,119],"a":[40,120],"novel":[41],"approach":[42,150],"for":[43,104,165],"recognizing":[44,157],"static":[45,158,166],"hand":[46,60,86],"gestures":[47,168],"using":[48],"depth":[49,70],"information":[50],"captured":[51,88],"from":[52,61],"Photon":[53],"Mixing":[54],"Device":[55],"(PMD)":[56],"cameras.":[57],"We":[58,93,117],"segment":[59],"background":[62],"based":[63],"on":[64,139],"received":[65],"signal":[66],"amplitude":[67],"pixel":[69],"values.":[71],"The":[72],"segmentation":[73],"is":[74,87,151],"robust":[75],"works":[77],"well":[78],"even":[79],"cluttered":[81],"backgrounds.":[82],"Shape":[83],"the":[85,113,124,129],"gradient":[90],"magnitude":[91],"features.":[92],"use":[94],"Random":[95],"Projection":[96],"(RP)":[97],"Kernel":[99],"Principal":[100],"Component":[101],"Analysis":[102],"(KPCA)":[103],"dimensionality":[105],"reduction":[106],"then":[108],"perform":[109],"subsequent":[110],"classification":[111],"lower":[114],"dimension":[115],"space.":[116],"also":[118],"strategy":[121],"reduce":[123],"training":[125],"time":[126],"required":[127],"process.":[130],"To":[131],"validate":[132],"performance":[133],"our":[135,149],"approach,":[136],"experimented":[138],"American":[140],"Sign":[141],"Language":[142],"(ASL)":[143],"gestures.":[144,159],"Experimental":[145],"results":[146],"show":[147],"that":[148],"efficient":[152],"quite":[154],"effective":[155],"A":[160],"five-fold":[161],"cross":[162],"validation":[163],"accuracy":[164],"ASL":[167],"was":[169],"99.8%.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
