{"id":"https://openalex.org/W1599510591","doi":"https://doi.org/10.1109/fg.2015.7163132","title":"Multi-sensor system for driver's hand-gesture recognition","display_name":"Multi-sensor system for driver's hand-gesture recognition","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1599510591","doi":"https://doi.org/10.1109/fg.2015.7163132","mag":"1599510591"},"language":"en","primary_location":{"id":"doi:10.1109/fg.2015.7163132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2015.7163132","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/A5066945976","display_name":"Pavlo Molchanov","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pavlo Molchanov","raw_affiliation_strings":["NVIDIA Research, Santa Clara, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA Research, Santa Clara, California, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009625243","display_name":"Shalini Gupta","orcid":"https://orcid.org/0000-0002-4270-1222"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shalini Gupta","raw_affiliation_strings":["NVIDIA Research, Santa Clara, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA Research, Santa Clara, California, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100655391","display_name":"Kihwan Kim","orcid":"https://orcid.org/0000-0002-0502-9545"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kihwan Kim","raw_affiliation_strings":["NVIDIA Research, Santa Clara, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA Research, Santa Clara, California, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110266324","display_name":"Kari Pulli","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kari Pulli","raw_affiliation_strings":["NVIDIA Research, Santa Clara, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA Research, Santa Clara, California, USA","institution_ids":["https://openalex.org/I4210127875"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066945976"],"corresponding_institution_ids":["https://openalex.org/I4210127875"],"apc_list":null,"apc_paid":null,"fwci":24.6321,"has_fulltext":false,"cited_by_count":244,"citation_normalized_percentile":{"value":0.99731375,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9901000261306763,"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":0.9829000234603882,"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/gesture","display_name":"Gesture","score":0.7903815507888794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7634299993515015},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.7439143061637878},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.7387673854827881},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6935339570045471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6908833980560303},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.678605318069458},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5117044448852539},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18461817502975464},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07451331615447998}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7903815507888794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7634299993515015},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7439143061637878},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.7387673854827881},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6935339570045471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6908833980560303},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.678605318069458},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5117044448852539},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18461817502975464},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07451331615447998},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg.2015.7163132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2015.7163132","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/7","score":0.47999998927116394,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1200926","https://openalex.org/W64392663","https://openalex.org/W619311409","https://openalex.org/W790225446","https://openalex.org/W1557153258","https://openalex.org/W1904365287","https://openalex.org/W1993666393","https://openalex.org/W1993898716","https://openalex.org/W2004694098","https://openalex.org/W2008110769","https://openalex.org/W2012615888","https://openalex.org/W2085489682","https://openalex.org/W2094645604","https://openalex.org/W2104036533","https://openalex.org/W2104777403","https://openalex.org/W2109747901","https://openalex.org/W2112186756","https://openalex.org/W2119656522","https://openalex.org/W2126698653","https://openalex.org/W2132424367","https://openalex.org/W2140515654","https://openalex.org/W2145835757","https://openalex.org/W2146221819","https://openalex.org/W2152175008","https://openalex.org/W2153200718","https://openalex.org/W2163605009","https://openalex.org/W2164587673","https://openalex.org/W2168392347","https://openalex.org/W2184188583","https://openalex.org/W2607669089","https://openalex.org/W6606244218","https://openalex.org/W6619255498","https://openalex.org/W6622743730","https://openalex.org/W6640036494","https://openalex.org/W6681579763","https://openalex.org/W6684191040","https://openalex.org/W6686207219","https://openalex.org/W7005627444"],"related_works":["https://openalex.org/W2354322770","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312416068","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731"],"abstract_inverted_index":{"We":[0,35,47],"propose":[1],"a":[2,15,18,22,37,76],"novel":[3],"multi-sensor":[4],"system":[5,29],"for":[6],"accurate":[7],"and":[8,21,44,59,73,81],"power-efficient":[9],"dynamic":[10],"car-driver":[11],"hand-gesture":[12],"recognition,":[13],"using":[14],"short-range":[16],"radar,":[17],"color":[19],"camera,":[20,24],"depth":[23,45],"which":[25],"together":[26],"make":[27],"the":[28,42,62,79],"robust":[30],"against":[31],"variable":[32],"lighting":[33],"conditions.":[34],"present":[36],"procedure":[38],"to":[39,53,60],"jointly":[40],"calibrate":[41],"radar":[43],"sensors.":[46],"employ":[48],"convolutional":[49],"deep":[50],"neural":[51],"networks":[52],"fuse":[54],"data":[55],"from":[56],"multiple":[57],"sensors":[58],"classify":[61],"gestures.":[63],"Our":[64],"algorithm":[65],"accurately":[66],"recognizes":[67],"10":[68],"different":[69],"gestures":[70],"acquired":[71],"indoors":[72],"outdoors":[74],"in":[75],"car":[77],"during":[78],"day":[80],"at":[82],"night.":[83],"It":[84],"consumes":[85],"significantly":[86],"less":[87],"power":[88],"than":[89],"purely":[90],"vision-based":[91],"systems.":[92]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":31},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":30},{"year":2018,"cited_by_count":35},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":6}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
