{"id":"https://openalex.org/W1602270144","doi":"https://doi.org/10.1109/fg.2015.7163135","title":"Hand detection in American Sign Language depth data using domain-driven random forest regression","display_name":"Hand detection in American Sign Language depth data using domain-driven random forest regression","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1602270144","doi":"https://doi.org/10.1109/fg.2015.7163135","mag":"1602270144"},"language":"en","primary_location":{"id":"doi:10.1109/fg.2015.7163135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2015.7163135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","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/A5039095916","display_name":"Zahoor Zafrulla","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zahoor Zafrulla","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058921365","display_name":"Himanshu Sahni","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Himanshu Sahni","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063204857","display_name":"Abdelkareem Bedri","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdelkareem Bedri","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082263202","display_name":"Pavleen Thukral","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pavleen Thukral","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045801671","display_name":"Thad\ufeff Starner\ufeff\ufeff","orcid":"https://orcid.org/0000-0001-8442-7842"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thad Starner","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039095916"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.6467,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.69515247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9987999796867371,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7672340869903564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6282925009727478},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.573885977268219},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5509113073348999},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5142499804496765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5026237964630127},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43483787775039673},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3728405237197876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18782415986061096}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7672340869903564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6282925009727478},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.573885977268219},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5509113073348999},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5142499804496765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5026237964630127},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43483787775039673},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3728405237197876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18782415986061096},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg.2015.7163135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2015.7163135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.49000000953674316,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1497212834","https://openalex.org/W1969724184","https://openalex.org/W1974744233","https://openalex.org/W2018757199","https://openalex.org/W2025808439","https://openalex.org/W2037141926","https://openalex.org/W2038172264","https://openalex.org/W2060280062","https://openalex.org/W2071008727","https://openalex.org/W2071419005","https://openalex.org/W2094645604","https://openalex.org/W2107603586","https://openalex.org/W2113912885","https://openalex.org/W2114663654","https://openalex.org/W2116790095","https://openalex.org/W2119350939","https://openalex.org/W2120113516","https://openalex.org/W2128276874","https://openalex.org/W2134538062","https://openalex.org/W2157548127","https://openalex.org/W2159226798","https://openalex.org/W2160977659","https://openalex.org/W2162152641","https://openalex.org/W2162413876","https://openalex.org/W2241812408","https://openalex.org/W2473430330","https://openalex.org/W2911964244","https://openalex.org/W3027573219","https://openalex.org/W4235517609","https://openalex.org/W4236358373","https://openalex.org/W6675871991","https://openalex.org/W6690056596","https://openalex.org/W6720535117"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W2048488252","https://openalex.org/W4289884158","https://openalex.org/W4288365262","https://openalex.org/W2940614149","https://openalex.org/W2787485953","https://openalex.org/W3217432596"],"abstract_inverted_index":{"In":[0],"Automatic":[1],"Sign":[2,29],"Language":[3,30],"Recognition":[4],"(ASLR),":[5],"robust":[6],"hand":[7,80,92],"tracking":[8],"and":[9],"detection":[10],"is":[11],"key":[12],"to":[13,52,56],"good":[14],"recognition":[15],"accuracy.":[16],"We":[17,33,64,88],"introduce":[18],"a":[19,67,102],"new":[20],"dataset":[21],"of":[22,39,104,106],"depth":[23,86],"data":[24],"from":[25,85,109],"continuously":[26],"signed":[27],"American":[28],"(ASL)":[31],"sentences.":[32],"present":[34],"analysis":[35],"showing":[36],"numerous":[37],"errors":[38],"the":[40,53,61,99,110],"Microsoft":[41],"Kinect":[42],"Skeleton":[43],"Tracker":[44],"(MKST)":[45],"in":[46],"cases":[47],"where":[48],"hands":[49],"are":[50],"close":[51,55],"body,":[54],"each":[57],"other,":[58],"or":[59],"when":[60],"arms":[62],"cross.":[63],"also":[65],"propose":[66],"method":[68],"based":[69],"on":[70],"domain-driven":[71],"random":[72],"forest":[73],"regression,":[74],"which":[75],"predicts":[76],"real":[77],"world":[78],"3D":[79],"locations":[81],"using":[82],"features":[83],"generated":[84],"images.":[87],"show":[89],"that":[90],"our":[91],"detector":[93],"(DDRFR)":[94],"has":[95],">20%":[96],"improvement":[97],"over":[98],"MKST":[100],"within":[101],"margin":[103],"error":[105],"5":[107],"cm":[108],"ground":[111],"truth.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
