{"id":"https://openalex.org/W4386322372","doi":"https://doi.org/10.1109/icce-taiwan58799.2023.10226822","title":"Contour Based Hand Segmentation Using Deep Convolutional Neural Networks","display_name":"Contour Based Hand Segmentation Using Deep Convolutional Neural Networks","publication_year":2023,"publication_date":"2023-07-17","ids":{"openalex":"https://openalex.org/W4386322372","doi":"https://doi.org/10.1109/icce-taiwan58799.2023.10226822"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan58799.2023.10226822","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce-taiwan58799.2023.10226822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","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/A5062323682","display_name":"Tsung\u2010Han Tsai","orcid":"https://orcid.org/0000-0001-7524-0621"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tsung-Han Tsai","raw_affiliation_strings":["National Central University,Dept. of Electrical Engineering,Taoyuan City,Taiwan","Dept. of Electrical Engineering, National Central University, Taoyuan City, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University,Dept. of Electrical Engineering,Taoyuan City,Taiwan","institution_ids":["https://openalex.org/I22265921"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, National Central University, Taoyuan City, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011241575","display_name":"Po\u2010Ting Chi","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Po-Ting Chi","raw_affiliation_strings":["National Central University,Dept. of Electrical Engineering,Taoyuan City,Taiwan","Dept. of Electrical Engineering, National Central University, Taoyuan City, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University,Dept. of Electrical Engineering,Taoyuan City,Taiwan","institution_ids":["https://openalex.org/I22265921"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, National Central University, Taoyuan City, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030441568","display_name":"Yuan-Chen Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yuan-Chen Ho","raw_affiliation_strings":["National Central University,Dept. of Electrical Engineering,Taoyuan City,Taiwan","Dept. of Electrical Engineering, National Central University, Taoyuan City, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University,Dept. of Electrical Engineering,Taoyuan City,Taiwan","institution_ids":["https://openalex.org/I22265921"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, National Central University, Taoyuan City, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062323682"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09606175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"271","last_page":"272"},"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":0.9961000084877014,"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/T11285","display_name":"Hearing Impairment and Communication","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8609757423400879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7769337892532349},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.705273449420929},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6750923991203308},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6679104566574097},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.642080545425415},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5995702743530273},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5916336178779602},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.574639081954956},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5368941426277161},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5251364707946777},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5163766145706177},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4776657521724701},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43824300169944763},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.436549574136734},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4108216166496277},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.34462136030197144},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06597128510475159}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8609757423400879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7769337892532349},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.705273449420929},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6750923991203308},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6679104566574097},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.642080545425415},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5995702743530273},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5916336178779602},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.574639081954956},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5368941426277161},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5251364707946777},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5163766145706177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4776657521724701},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43824300169944763},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.436549574136734},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4108216166496277},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34462136030197144},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06597128510475159},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan58799.2023.10226822","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce-taiwan58799.2023.10226822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","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":7,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1977995219","https://openalex.org/W2144232362","https://openalex.org/W2624871570","https://openalex.org/W2894027118","https://openalex.org/W6639824700","https://openalex.org/W6739365718"],"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/W3174643231"],"abstract_inverted_index":{"In":[0,66],"modern":[1],"society,":[2],"the":[3,17,22,33,36,40,47,62,78,91],"interaction":[4],"between":[5],"human":[6],"and":[7,12,27,35,57,74,84],"machine":[8],"has":[9],"become":[10],"more":[11,13,25],"important.":[14],"Compare":[15],"with":[16,21,101],"traditional":[18],"interface,":[19],"operation":[20],"gesture":[23,52,58],"is":[24],"intuitive":[26],"attractive.":[28],"Deep":[29],"learning":[30],"can":[31,60],"share":[32,61],"computations":[34],"parameters":[37],"by":[38],"sharing":[39],"convolution":[41],"layers,":[42],"in":[43],"order":[44],"to":[45,88],"eliminate":[46],"multi-stage":[48],"system.":[49],"For":[50],"hand":[51,55,72,98],"recognition":[53],"task,":[54,76],"detection":[56,73],"classification":[59],"same":[63],"image":[64],"features.":[65],"this":[67],"work,":[68],"we":[69,94],"focus":[70],"on":[71,80],"segmentation":[75,99],"enforce":[77],"data":[79],"extreme":[81],"situations":[82],"scene,":[83],"use":[85],"iterative":[86],"training":[87],"further":[89],"reduce":[90],"errors.":[92],"Finally,":[93],"achieve":[95],"a":[96],"robust":[97],"model":[100],"F1":[102],"score":[103],"over":[104],"than":[105],"90%.":[106]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
