{"id":"https://openalex.org/W4392910773","doi":"https://doi.org/10.1109/ccnc51664.2024.10454652","title":"A Real-Time Hand Gesture Recognition System on Raspberry Pi: A Deep Learning-Based Approach","display_name":"A Real-Time Hand Gesture Recognition System on Raspberry Pi: A Deep Learning-Based Approach","publication_year":2024,"publication_date":"2024-01-06","ids":{"openalex":"https://openalex.org/W4392910773","doi":"https://doi.org/10.1109/ccnc51664.2024.10454652"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc51664.2024.10454652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc51664.2024.10454652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 21st Consumer Communications &amp; Networking Conference (CCNC)","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/A5111149133","display_name":"Alyssa Yu","orcid":"https://orcid.org/0000-0002-2679-9936"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Alyssa Yu","raw_affiliation_strings":["Poolesville High School,Poolesville,MD,USA,20837"],"affiliations":[{"raw_affiliation_string":"Poolesville High School,Poolesville,MD,USA,20837","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111149134","display_name":"Cheng Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I87552059","display_name":"Hood College","ror":"https://ror.org/04e6ngf61","country_code":"US","type":"education","lineage":["https://openalex.org/I87552059"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng Qian","raw_affiliation_strings":["Hood College,Department of Computer Science and Information Technology,Frederick,MD,USA,21701"],"affiliations":[{"raw_affiliation_string":"Hood College,Department of Computer Science and Information Technology,Frederick,MD,USA,21701","institution_ids":["https://openalex.org/I87552059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026759570","display_name":"Yifan Guo","orcid":"https://orcid.org/0000-0002-9700-5005"},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Guo","raw_affiliation_strings":["Towson University,Department of Computer and Information Sciences,Towson,MD,USA,21252"],"affiliations":[{"raw_affiliation_string":"Towson University,Department of Computer and Information Sciences,Towson,MD,USA,21252","institution_ids":["https://openalex.org/I4322298"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111149133"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4792,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92046653,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"499","last_page":"506"},"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/T13382","display_name":"Robotics and Automated Systems","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10812","display_name":"Human Pose and Action Recognition","score":0.9944999814033508,"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/raspberry-pi","display_name":"Raspberry pi","score":0.8886600732803345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7059752941131592},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6547052264213562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6074064373970032},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5012052059173584},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.46498578786849976},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.413272500038147},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36430326104164124},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2368454933166504},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.07885941863059998}],"concepts":[{"id":"https://openalex.org/C2985745059","wikidata":"https://www.wikidata.org/wiki/Q245","display_name":"Raspberry pi","level":3,"score":0.8886600732803345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7059752941131592},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6547052264213562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6074064373970032},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5012052059173584},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.46498578786849976},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.413272500038147},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36430326104164124},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2368454933166504},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.07885941863059998}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc51664.2024.10454652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc51664.2024.10454652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 21st Consumer Communications &amp; Networking Conference (CCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1969724184","https://openalex.org/W2058401212","https://openalex.org/W2113123816","https://openalex.org/W2535226173","https://openalex.org/W2806047223","https://openalex.org/W2902728877","https://openalex.org/W2912886600","https://openalex.org/W2963169737","https://openalex.org/W2963446712","https://openalex.org/W2973305447","https://openalex.org/W2982083293","https://openalex.org/W3039721747","https://openalex.org/W3088416010","https://openalex.org/W3093471076","https://openalex.org/W3104709596","https://openalex.org/W3177206405","https://openalex.org/W3197181216","https://openalex.org/W3216101537","https://openalex.org/W4220715089","https://openalex.org/W4297100184"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735","https://openalex.org/W4322710567"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"witnessed":[3],"the":[4,71,77,171,184,223,247],"deep":[5,78],"involvement":[6],"of":[7,13,225],"hand":[8,27,129,227],"gesture":[9,57,130,228],"recognition":[10,58,66,84,131,211],"in":[11,17,117],"Internet":[12],"Things":[14],"(IoT)":[15],"devices":[16,42],"healthcare,":[18],"autonomous":[19],"driving,":[20],"virtual":[21],"reality,":[22,24],"augmented":[23],"etc.,":[25],"since":[26],"gestures":[28],"offer":[29],"a":[30,143,200,233],"natural":[31],"and":[32,93,109,191],"intuitive":[33],"way":[34],"for":[35,127,174,193],"human":[36],"beings":[37],"to":[38,61,76,155,169,182,206,249,252],"interact":[39],"with":[40,82,90,107,152],"IoT":[41,111],"without":[43],"relying":[44,96],"on":[45,97,132],"traditional":[46,72],"input":[47],"methods":[48],"such":[49],"as":[50],"keyboards,":[51],"mice,":[52],"or":[53],"touchscreens.":[54],"Thus,":[55],"accurate":[56],"is":[59],"crucial":[60],"its":[62],"development.":[63],"Consequently,":[64],"many":[65],"approaches":[67,87],"are":[68],"proposed,":[69],"from":[70],"computer":[73],"vision":[74],"domain":[75],"learning":[79],"domain.":[80],"Although":[81],"promising":[83],"performance,":[85],"these":[86],"typically":[88],"come":[89],"high":[91,234],"computational":[92],"energy":[94,219],"costs":[95],"graphics":[98],"processing":[99],"unit":[100],"(GPU)":[101],"accelerations,":[102],"which":[103,163],"cannot":[104],"be":[105,250],"compatible":[106],"low-cost":[108,133,172,255],"non-GPU":[110],"edge":[112,134,175,194,256],"devices.":[113,195,257],"To":[114],"this":[115,118],"end,":[116],"paper,":[119],"we":[120,140,177,198],"develop":[121],"an":[122],"artificial":[123],"intelligence":[124],"(AI)-enabled":[125],"system":[126,205,231],"real-time":[128,166,226],"devices,":[135,176],"e.g.,":[136,238],"Raspberry":[137],"Pis.":[138],"Particularly,":[139],"first":[141],"design":[142],"simple":[144],"but":[145],"effective":[146],"convolutional":[147],"neural":[148],"network":[149],"(CNN)-based":[150],"model":[151,179,185],"residual":[153],"blocks":[154],"handle":[156],"American":[157],"Sign":[158],"Language":[159],"(ASL)":[160],"digits":[161],"tasks,":[162],"enables":[164],"fast-bust-accurate":[165],"inferences.":[167],"Then,":[168],"fit":[170],"environment":[173],"involve":[178],"quantization":[180],"techniques":[181],"shrink":[183],"size,":[186],"thus":[187],"requiring":[188],"reduced":[189],"memory":[190],"storage":[192],"In":[196],"addition,":[197],"plug":[199],"motion":[201],"sensor":[202],"into":[203],"our":[204,210,230,243],"automatically":[207],"turn":[208],"off":[209],"once":[212],"it":[213],"detects":[214],"no":[215],"people":[216],"nearby,":[217],"reducing":[218],"consumption.":[220],"By":[221],"evaluating":[222],"performance":[224],"recognition,":[229],"maintains":[232],"prediction":[235],"accuracy":[236],"rate,":[237],"over":[239],"96":[240],"%.":[241],"Moreover,":[242],"designed":[244],"solution":[245],"has":[246],"potential":[248],"privileged":[251],"other":[253],"common":[254]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
