{"id":"https://openalex.org/W4407774350","doi":"https://doi.org/10.1145/3711129.3711349","title":"Bionic Hand System for 3D Hand Reconstruction Using a Single View","display_name":"Bionic Hand System for 3D Hand Reconstruction Using a Single View","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4407774350","doi":"https://doi.org/10.1145/3711129.3711349"},"language":"en","primary_location":{"id":"doi:10.1145/3711129.3711349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3711129.3711349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 8th International Conference on Electronic Information Technology and Computer Engineering","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/A5103211354","display_name":"Jie Pan","orcid":"https://orcid.org/0009-0003-3367-6381"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Pan","raw_affiliation_strings":["College of Ocean Information Engineering, Jimei University, Xiamen, Fujian, China"],"raw_orcid":"https://orcid.org/0009-0003-3367-6381","affiliations":[{"raw_affiliation_string":"College of Ocean Information Engineering, Jimei University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003510135","display_name":"Ming Chen","orcid":"https://orcid.org/0009-0007-3626-0073"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Chen","raw_affiliation_strings":["College of Ocean Information Engineering, Jimei University, Xiamen, Fujian, China"],"raw_orcid":"https://orcid.org/0009-0007-3626-0073","affiliations":[{"raw_affiliation_string":"College of Ocean Information Engineering, Jimei University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111319911","display_name":"Zhengxuan Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengxuan Huang","raw_affiliation_strings":["College of Ocean Information Engineering, Jimei University, Xiamen, Fujian, China"],"raw_orcid":"https://orcid.org/0009-0009-5398-4270","affiliations":[{"raw_affiliation_string":"College of Ocean Information Engineering, Jimei University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045283922","display_name":"Yiliang Wu","orcid":"https://orcid.org/0000-0002-6067-6147"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiliang Wu","raw_affiliation_strings":["College of Ocean Information Engineering, Jimei University, Xiamen, Fujian, China"],"raw_orcid":"https://orcid.org/0000-0002-6067-6147","affiliations":[{"raw_affiliation_string":"College of Ocean Information Engineering, Jimei University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I161346416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103211354"],"corresponding_institution_ids":["https://openalex.org/I161346416"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33381995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1313","last_page":"1317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9991000294685364,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9927999973297119,"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":0.9871000051498413,"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/computer-science","display_name":"Computer science","score":0.6478093266487122},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4168914556503296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39967548847198486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6478093266487122},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4168914556503296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39967548847198486}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711129.3711349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3711129.3711349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 8th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4099999964237213,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1996630649","https://openalex.org/W2158782408","https://openalex.org/W2192203593","https://openalex.org/W2213758982","https://openalex.org/W2802545914","https://openalex.org/W2962926199","https://openalex.org/W2963119249","https://openalex.org/W2964093990","https://openalex.org/W2973857456"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0,184],"paper":[1,144,185],"proposes":[2],"a":[3,11,19],"simulation":[4],"system":[5],"for":[6,201],"3D":[7,24,37,45,68,103,193],"hand":[8,42,46,59,76,120,194],"reconstruction":[9,47,135,171,195],"using":[10,50],"single":[12],"view,":[13],"which":[14,93],"is":[15,94,180],"dedicated":[16],"to":[17,57,88,121,132,148],"play":[18],"role":[20],"in":[21,32,192,203],"efficiently":[22],"reconstructing":[23],"hands":[25,31,38],"and":[26,39,54,61,83,137,159,176,197,209],"accurately":[27],"controlling":[28],"bionic":[29,40,58,119,128],"robotic":[30,41],"the":[33,64,67,75,90,113,117,127,134,141,150,170,174,177,187,204],"fields":[34],"of":[35,70,74,112,116,126,140,173,189,206],"constructing":[36],"control.":[43,211],"The":[44,162],"method":[48],"by":[49,79,85,182],"SimpleHand":[51,80,190],"network":[52,81,91,191],"structure":[53],"applying":[55],"it":[56],"control":[60,125],"simulation.":[62],"Using":[63],"FreiHAND":[65],"dataset,":[66],"coordinates":[69,106],"21":[71],"joint":[72,104,110],"points":[73],"are":[77],"obtained":[78],"inference":[82],"rendered":[84],"MANO":[86],"model":[87,115],"evaluate":[89],"performance,":[92],"also":[95],"combined":[96],"with":[97],"several":[98],"evaluation":[99],"metrics.":[100],"Subsequently,":[101],"these":[102],"point":[105],"were":[107],"converted":[108],"into":[109],"parameters":[111],"E3M5":[114],"Mujoco":[118],"achieve":[122],"accurate":[123],"movement":[124],"hand.":[129],"In":[130],"order":[131],"improve":[133],"accuracy":[136,172],"training":[138],"efficiency":[139],"model,":[142,175],"this":[143],"uses":[145],"Bayesian":[146,167],"Optimization":[147,168],"tune":[149],"key":[151],"hyperparameters":[152],"such":[153],"as":[154],"learning":[155],"rate,":[156],"weight":[157],"decay":[158],"batch":[160],"size.":[161],"experimental":[163],"results":[164],"show":[165],"that":[166],"improves":[169],"F@05":[178],"metric":[179],"improved":[181],"2.2%.":[183],"demonstrates":[186],"effectiveness":[188],"task":[196],"verifies":[198],"its":[199],"potential":[200],"application":[202],"field":[205],"gesture":[207],"recognition":[208],"robot":[210]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}