{"id":"https://openalex.org/W2514949611","doi":"https://doi.org/10.1145/2905055.2905125","title":"American Static Signs Recognition Using Leap Motion Sensor","display_name":"American Static Signs Recognition Using Leap Motion Sensor","publication_year":2016,"publication_date":"2016-03-04","ids":{"openalex":"https://openalex.org/W2514949611","doi":"https://doi.org/10.1145/2905055.2905125","mag":"2514949611"},"language":"en","primary_location":{"id":"doi:10.1145/2905055.2905125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2905055.2905125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies","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/A5078625333","display_name":"Rajesh B. Mapari","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rajesh B. Mapari","raw_affiliation_strings":["Anuradha Engineering College, Chikhli, India"],"affiliations":[{"raw_affiliation_string":"Anuradha Engineering College, Chikhli, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043483392","display_name":"Govind Kharat","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Govind Kharat","raw_affiliation_strings":["Sharadchandra Pawar College of Engineering, Otur, India"],"affiliations":[{"raw_affiliation_string":"Sharadchandra Pawar College of Engineering, Otur, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078625333"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.059,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.91291055,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9905999898910522,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9821000099182129,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6424848437309265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.488044410943985},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46094760298728943},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4372003972530365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6424848437309265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.488044410943985},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46094760298728943},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4372003972530365}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2905055.2905125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2905055.2905125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1596744082","https://openalex.org/W1906915714","https://openalex.org/W1984382603","https://openalex.org/W2003289734","https://openalex.org/W2052101136","https://openalex.org/W2057458002","https://openalex.org/W2070190112","https://openalex.org/W2075048802","https://openalex.org/W2076934643","https://openalex.org/W2079023046","https://openalex.org/W2089909844","https://openalex.org/W2138357879","https://openalex.org/W2145951107","https://openalex.org/W3021447659","https://openalex.org/W3099129912","https://openalex.org/W4255458492"],"related_works":["https://openalex.org/W2687972263","https://openalex.org/W2029249305","https://openalex.org/W2511137960","https://openalex.org/W2144043954","https://openalex.org/W3214088465","https://openalex.org/W2115571026","https://openalex.org/W2604231787","https://openalex.org/W2610014769","https://openalex.org/W2895616727","https://openalex.org/W2105769806"],"abstract_inverted_index":{"Advancement":[0],"in":[1,7,113],"technology":[2],"has":[3],"opened":[4],"new":[5],"ways":[6],"the":[8,58],"field":[9],"of":[10,19,60,72,104,116,120],"Human":[11],"Machine":[12],"Interaction.":[13],"A":[14],"Novel":[15],"method":[16],"for":[17,47,126,133],"recognition":[18],"American":[20],"Sign":[21],"Language":[22],"(ASL)":[23],"is":[24,62,95,124,131,142],"proposed":[25],"using":[26,90],"Leap":[27],"Motion":[28],"Sensor.":[29],"Static":[30],"signs":[31,111],"(A":[32],"to":[33,39,64,87],"Z":[34,44],"and":[35,43,51,66,76,79,128],"numbers":[36],"from":[37,55],"1":[38],"10)":[40],"excluding":[41],"J":[42],"are":[45,85],"used":[46,86,125,132],"processing.":[48],"However":[49],"2":[50],"6":[52],"also":[53],"excluded":[54],"dataset":[56,115,123,130],"as":[57],"posture":[59],"these":[61],"similar":[63],"V":[65],"W":[67],"respectively.":[68],"Features":[69],"Set":[70],"consist":[71],"positional":[73],"values":[74],"(fingers":[75],"palm),":[77],"distance":[78],"angle":[80],"values.":[81],"Total":[82],"48":[83],"features":[84],"recognize":[88],"ASL":[89],"Multilayer":[91],"Perceptron":[92],"(MLP)":[93],"which":[94],"a":[96],"feed":[97],"forward":[98],"artificial":[99],"neural":[100],"network.":[101],"Dataset":[102],"consists":[103],"146":[105],"users":[106],"who":[107],"have":[108],"performed":[109],"32":[110],"resulting":[112],"total":[114],"4672":[117],"signs.":[118],"Out":[119],"this":[121],"90%":[122],"training":[127],"10%":[129],"CV":[134],"(Cross":[135],"Validation)/testing.":[136],"The":[137],"average":[138],"classification":[139],"accuracy":[140],"obtained":[141],"near":[143],"about":[144],"90%.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}