{"id":"https://openalex.org/W2292706472","doi":"https://doi.org/10.1109/robio.2015.7419067","title":"Human face orientation recognition for intelligent mobile robot collision avoidance in laboratory environments using feature detection and LVQ neural networks","display_name":"Human face orientation recognition for intelligent mobile robot collision avoidance in laboratory environments using feature detection and LVQ neural networks","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2292706472","doi":"https://doi.org/10.1109/robio.2015.7419067","mag":"2292706472"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2015.7419067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2015.7419067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5100387509","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0001-6654-4965"},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Hui Liu","raw_affiliation_strings":["Center for Life Science Automation (celisca), University of Rostock, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"Center for Life Science Automation (celisca), University of Rostock, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113701752","display_name":"Norbert Stoll","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157642","display_name":"Institute of Automation","ror":"https://ror.org/056qj1t15","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210157642","https://openalex.org/I78650965"]},{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Norbert Stoll","raw_affiliation_strings":["Institute of Automation, University of Rostock, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, University of Rostock, Rostock, Germany","institution_ids":["https://openalex.org/I4665924","https://openalex.org/I4210157642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037697209","display_name":"Steffen Junginger","orcid":null},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]},{"id":"https://openalex.org/I4210157642","display_name":"Institute of Automation","ror":"https://ror.org/056qj1t15","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210157642","https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steffen Junginger","raw_affiliation_strings":["Institute of Automation, University of Rostock, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, University of Rostock, Rostock, Germany","institution_ids":["https://openalex.org/I4665924","https://openalex.org/I4210157642"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044522153","display_name":"Kerstin Thurow","orcid":"https://orcid.org/0000-0002-3281-1065"},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kerstin Thurow","raw_affiliation_strings":["Center for Life Science Automation (celisca), University of Rostock, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"Center for Life Science Automation (celisca), University of Rostock, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100387509"],"corresponding_institution_ids":["https://openalex.org/I4665924"],"apc_list":null,"apc_paid":null,"fwci":0.5996,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76307295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2003","last_page":"2007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9911999702453613,"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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9911999702453613,"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/T10057","display_name":"Face and Expression Recognition","score":0.9882000088691711,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9807999730110168,"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/learning-vector-quantization","display_name":"Learning vector quantization","score":0.7381370663642883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.715516209602356},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6771296262741089},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6230259537696838},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6149932146072388},{"id":"https://openalex.org/keywords/laptop","display_name":"Laptop","score":0.5784749388694763},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5478581190109253},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.5453377366065979},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.49990129470825195},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46998491883277893},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46404048800468445},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.4538102149963379},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.44572675228118896},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4224483370780945},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.41245341300964355},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.3619876503944397},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06415927410125732}],"concepts":[{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.7381370663642883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.715516209602356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6771296262741089},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6230259537696838},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6149932146072388},{"id":"https://openalex.org/C2780008327","wikidata":"https://www.wikidata.org/wiki/Q3962","display_name":"Laptop","level":2,"score":0.5784749388694763},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5478581190109253},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.5453377366065979},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.49990129470825195},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46998491883277893},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46404048800468445},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.4538102149963379},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.44572675228118896},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4224483370780945},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.41245341300964355},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.3619876503944397},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06415927410125732},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2015.7419067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2015.7419067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1531069015","https://openalex.org/W1545953874","https://openalex.org/W1761621746","https://openalex.org/W1989846948","https://openalex.org/W1992627609","https://openalex.org/W1996048457","https://openalex.org/W2003736918","https://openalex.org/W2009100051","https://openalex.org/W2037871781","https://openalex.org/W2052492454","https://openalex.org/W2074153421","https://openalex.org/W2074852339","https://openalex.org/W2077984277","https://openalex.org/W2082095704","https://openalex.org/W2083405540","https://openalex.org/W2092812680","https://openalex.org/W2113109750","https://openalex.org/W2116166535","https://openalex.org/W2118382609","https://openalex.org/W2121492614","https://openalex.org/W2160997201","https://openalex.org/W2166396246","https://openalex.org/W2170847479","https://openalex.org/W2542622692","https://openalex.org/W3144249121","https://openalex.org/W4253206472","https://openalex.org/W6631884009","https://openalex.org/W6677658800","https://openalex.org/W6683590232"],"related_works":["https://openalex.org/W2502168579","https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W3183843611","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W4312081214","https://openalex.org/W2059356388","https://openalex.org/W325114128"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3],"approach":[4,30],"on":[5,91,123],"the":[6,15,22,32,37,44,51,57,66,70,76,87,92,99,104,113,118,127,131,135,148,155],"intelligent":[7],"mobile":[8,67,156],"robot":[9,18,157],"collision":[10,71,158],"avoidance":[11,159],"is":[12,110],"proposed":[13,29,136,149],"for":[14,103],"complex":[16],"laboratory":[17,41],"transportation":[19],"process":[20],"using":[21],"human":[23,137],"face":[24,38,53,58,88,94,138],"orientation":[25],"recognition":[26],"strategy.":[27],"The":[28,115],"includes":[31],"contents":[33],"as:":[34],"(a)":[35],"Measuring":[36],"images":[39,54],"of":[40,117,134],"personnel":[42],"by":[43],"adopted":[45],"Microsoft":[46],"Kinect":[47],"sensors;":[48],"(b)":[49],"Processing":[50],"measured":[52],"to":[55,64,83],"recognize":[56],"orientations":[59,89],"which":[60],"will":[61],"be":[62,152],"used":[63],"control":[65],"robots":[68],"in":[69,112,154],"avoidance;":[72],"and":[73,85,130,143],"(c)":[74],"Building":[75],"Learning":[77],"Vector":[78],"Quantization":[79],"(LVQ)":[80],"Neural":[81],"Networks":[82],"calculate":[84],"decide":[86],"based":[90,122],"extracted":[93],"feature":[95],"data.":[96],"To":[97],"select":[98],"best":[100],"training":[101],"algorithm":[102],"LVQ":[105],"model,":[106],"a":[107,124],"trail":[108],"experiment":[109],"provided":[111],"study.":[114],"results":[116],"study":[119],"show":[120],"that:":[121],"standard":[125],"laptop,":[126],"successful":[128],"rate":[129],"elapsed":[132],"time":[133],"recognizing":[139],"method":[140,150],"are":[141],"99%":[142],"3.17s,":[144],"respectively.":[145],"It":[146],"means":[147],"can":[151],"applied":[153],"applications.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}