{"id":"https://openalex.org/W2885761561","doi":"https://doi.org/10.1109/hsi.2018.8431246","title":"Digits Recognition with Quadrant Photodiode and Convolutional Neural Network","display_name":"Digits Recognition with Quadrant Photodiode and Convolutional Neural Network","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2885761561","doi":"https://doi.org/10.1109/hsi.2018.8431246","mag":"2885761561"},"language":"en","primary_location":{"id":"doi:10.1109/hsi.2018.8431246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi.2018.8431246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Conference on Human System Interaction (HSI)","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/A5067051959","display_name":"Kamil Janczyk","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165507","display_name":"Centrum Techniki Okr\u0119towej","ror":"https://ror.org/05t6zq805","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210165507"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Kamil Janczyk","raw_affiliation_strings":["Medical Engineering Division, Ship Design and Research Centre, Gdansk, Poland"],"affiliations":[{"raw_affiliation_string":"Medical Engineering Division, Ship Design and Research Centre, Gdansk, Poland","institution_ids":["https://openalex.org/I4210165507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013440487","display_name":"Krzysztof Czuszy\u0144ski","orcid":"https://orcid.org/0000-0001-8038-4785"},"institutions":[{"id":"https://openalex.org/I169333911","display_name":"Gda\u0144sk University of Technology","ror":"https://ror.org/006x4sc24","country_code":"PL","type":"education","lineage":["https://openalex.org/I169333911"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Krzysztof Czuszynski","raw_affiliation_strings":["Department of Biomedical Engineering, Gdansk University of Technology, Gdansk, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Gdansk University of Technology, Gdansk, Poland","institution_ids":["https://openalex.org/I169333911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044309467","display_name":"Jacek Rumi\u0144ski","orcid":"https://orcid.org/0000-0003-2266-0088"},"institutions":[{"id":"https://openalex.org/I169333911","display_name":"Gda\u0144sk University of Technology","ror":"https://ror.org/006x4sc24","country_code":"PL","type":"education","lineage":["https://openalex.org/I169333911"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jacek Ruminski","raw_affiliation_strings":["Department of Biomedical Engineering, Gdansk University of Technology, Gdansk, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Gdansk University of Technology, Gdansk, Poland","institution_ids":["https://openalex.org/I169333911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067051959"],"corresponding_institution_ids":["https://openalex.org/I4210165507"],"apc_list":null,"apc_paid":null,"fwci":0.1811,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49185507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2011","issue":null,"first_page":"111","last_page":"117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9991000294685364,"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":0.9991000294685364,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9886999726295471,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9585999846458435,"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/mnist-database","display_name":"MNIST database","score":0.9262051582336426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6484330892562866},{"id":"https://openalex.org/keywords/photodiode","display_name":"Photodiode","score":0.6270778179168701},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6119270324707031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5979215502738953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5301089286804199},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5108670592308044},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4029493033885956},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36059480905532837},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11654415726661682},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07795566320419312}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.9262051582336426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6484330892562866},{"id":"https://openalex.org/C751236","wikidata":"https://www.wikidata.org/wiki/Q175943","display_name":"Photodiode","level":2,"score":0.6270778179168701},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6119270324707031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5979215502738953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5301089286804199},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5108670592308044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4029493033885956},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36059480905532837},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11654415726661682},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07795566320419312}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hsi.2018.8431246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi.2018.8431246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Conference on Human System Interaction (HSI)","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":26,"referenced_works":["https://openalex.org/W1480928787","https://openalex.org/W1507214098","https://openalex.org/W1973578655","https://openalex.org/W1974321641","https://openalex.org/W1976881260","https://openalex.org/W1982297923","https://openalex.org/W1987681765","https://openalex.org/W2023346029","https://openalex.org/W2027528442","https://openalex.org/W2057806694","https://openalex.org/W2065551609","https://openalex.org/W2106861062","https://openalex.org/W2146708471","https://openalex.org/W2161304134","https://openalex.org/W2287367556","https://openalex.org/W2345977571","https://openalex.org/W2535933534","https://openalex.org/W2581007094","https://openalex.org/W2744442285","https://openalex.org/W2771311343","https://openalex.org/W2802617992","https://openalex.org/W3082426581","https://openalex.org/W3103535181","https://openalex.org/W4297803025","https://openalex.org/W6681940359","https://openalex.org/W6696355453"],"related_works":["https://openalex.org/W2950475743","https://openalex.org/W4386603768","https://openalex.org/W2886711096","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W2590796488","https://openalex.org/W3036048022","https://openalex.org/W4309224979","https://openalex.org/W3026879719","https://openalex.org/W3013696689"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"have":[4],"investigated":[5],"the":[6,16,22,59,82,98,121,142,148,153,168,174,180,195,198,209],"capabilities":[7],"of":[8,18,27,71,90,105,129,156,158,167,183,197,211],"a":[9,34,50,88,212],"quadrant":[10,109,135],"photodiode":[11,110,136],"based":[12],"gesture":[13],"sensor":[14,25,150],"in":[15,21,81,97,171],"recognition":[17,104],"digits":[19,106,184],"drawn":[20,80],"air.":[23,83],"The":[24,165],"consisting":[26],"4":[28,31],"active":[29],"elements,":[30],"LEDs":[32],"and":[33,44,49,139,200],"pinhole":[35],"was":[36],"considered":[37],"as":[38,55,96],"input":[39],"interface":[40],"for":[41,58,103,190,205],"both":[42],"discrete":[43],"continuous":[45],"gestures.":[46],"Index":[47],"finger":[48,213],"round":[51],"pointer":[52,199],"were":[53,79,85,111],"used":[54],"navigating":[56],"mediums":[57],"sensor.":[60],"Experiments":[61],"performed":[62],"with":[63,131,144,194,208],"5":[64],"volunteers":[65],"allowed":[66,177],"to":[67,76,173,178,188,203],"record":[68],"300":[69],"examples":[70,119,132,145],"each":[72],"digit":[73],"from":[74,87,120,186,201],"0":[75],"9,":[77],"which":[78],"Digits":[84],"converted":[86],"list":[89],"recorded":[91,107,133,146,193,207],"coordinates":[92],"into":[93],"images":[94],"processed":[95],"MNIST":[99,122,130,143],"database.":[100],"Three":[101],"approaches":[102],"by":[108],"considered:":[112],"convolutional":[113],"neural":[114],"network":[115,124],"trained":[116,125,140],"only":[117],"on":[118,126,141],"database,":[123],"mixed":[127],"data":[128,161,192,206],"using":[134,147],"(4/1":[137,162],"proportions)":[138],"elaborated":[149],"but":[151],"after":[152],"arbitral":[154],"rejection":[155],"20%":[157],"worst":[159],"quality":[160],"proportions":[163],"preserved).":[164],"application":[166],"third":[169],"approach":[170],"comparison":[172],"first":[175],"one":[176],"increase":[179],"overall":[181],"accuracy":[182],"classification":[185],"34.4%":[187],"86%":[189],"testing":[191],"use":[196,210],"32%":[202],"81.2%":[204],"(for":[214],"50Hz":[215],"sampling":[216],"frequency).":[217]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}