{"id":"https://openalex.org/W2594243030","doi":"https://doi.org/10.1109/icra.2017.7989306","title":"Simultaneous Feature and Body-Part Learning for real-time robot awareness of human behaviors","display_name":"Simultaneous Feature and Body-Part Learning for real-time robot awareness of human behaviors","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2594243030","doi":"https://doi.org/10.1109/icra.2017.7989306","mag":"2594243030"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2017.7989306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2017.7989306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Automation (ICRA)","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/A5101784411","display_name":"Fei Han","orcid":"https://orcid.org/0000-0002-8619-3987"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fei Han","raw_affiliation_strings":["Department of Computer Science, Colorado School of Mines, Golden, CO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Colorado School of Mines, Golden, CO, USA","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014900230","display_name":"Xue Yang","orcid":"https://orcid.org/0000-0002-4148-1096"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xue Yang","raw_affiliation_strings":["Department of Computer Science, Colorado School of Mines, Golden, CO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Colorado School of Mines, Golden, CO, USA","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086242162","display_name":"Christopher Reardon","orcid":"https://orcid.org/0000-0003-1393-2256"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Reardon","raw_affiliation_strings":["US Army Research Laboratory, Adelphi, MD, USA"],"affiliations":[{"raw_affiliation_string":"US Army Research Laboratory, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433666","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0003-0140-7366"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100397026","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0003-1991-119X"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["Department of Computer Science, Colorado School of Mines, Golden, CO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Colorado School of Mines, Golden, CO, USA","institution_ids":["https://openalex.org/I167576493"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101784411"],"corresponding_institution_ids":["https://openalex.org/I167576493"],"apc_list":null,"apc_paid":null,"fwci":0.8192,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81796192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"2621","last_page":"2628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9991999864578247,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9965000152587891,"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/discriminative-model","display_name":"Discriminative model","score":0.7667744159698486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7138381004333496},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6869363784790039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6675240993499756},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6150241494178772},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5504907965660095},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.5305018424987793},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4908607602119446},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.4837627410888672},{"id":"https://openalex.org/keywords/human-body","display_name":"Human body","score":0.4214611351490021},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36663469672203064}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7667744159698486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7138381004333496},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6869363784790039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6675240993499756},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6150241494178772},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5504907965660095},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.5305018424987793},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4908607602119446},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.4837627410888672},{"id":"https://openalex.org/C193293595","wikidata":"https://www.wikidata.org/wiki/Q23852","display_name":"Human body","level":2,"score":0.4214611351490021},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36663469672203064},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2017.7989306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2017.7989306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1446523894","https://openalex.org/W1596216457","https://openalex.org/W1771569304","https://openalex.org/W1912967058","https://openalex.org/W1932327087","https://openalex.org/W1950788856","https://openalex.org/W1972283961","https://openalex.org/W1979378996","https://openalex.org/W1983451087","https://openalex.org/W1995784006","https://openalex.org/W2010838375","https://openalex.org/W2017695267","https://openalex.org/W2022171669","https://openalex.org/W2030061193","https://openalex.org/W2031334527","https://openalex.org/W2073139398","https://openalex.org/W2099320314","https://openalex.org/W2110819057","https://openalex.org/W2111885008","https://openalex.org/W2133526128","https://openalex.org/W2139857301","https://openalex.org/W2143004591","https://openalex.org/W2143267104","https://openalex.org/W2144380653","https://openalex.org/W2145546283","https://openalex.org/W2146048167","https://openalex.org/W2158708601","https://openalex.org/W2171837816","https://openalex.org/W2172156083","https://openalex.org/W2182587296","https://openalex.org/W2224196924","https://openalex.org/W6628555714","https://openalex.org/W6635654010","https://openalex.org/W6640469932","https://openalex.org/W6640754710","https://openalex.org/W6655019712","https://openalex.org/W6655990517","https://openalex.org/W6657977185","https://openalex.org/W6674904848","https://openalex.org/W6689051646"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2378211422","https://openalex.org/W2110523656","https://openalex.org/W1482209366"],"abstract_inverted_index":{"Robot":[0],"awareness":[1,63,124,233],"of":[2,64,125,143,214,217,234],"human":[3,46,65,126,235],"actions":[4,66],"is":[5],"an":[6,151],"essential":[7],"research":[8],"problem":[9,135],"in":[10,49,193,237],"robotics":[11,239],"with":[12,67,136,210],"many":[13],"important":[14],"real-world":[15],"applications,":[16],"including":[17,180],"human-robot":[18],"collaboration":[19],"and":[20,77,89,111,113,146,184],"teaming.":[21],"Over":[22],"the":[23,82,156,166,181,215],"past":[24],"few":[25],"years,":[26],"depth":[27],"sensors":[28],"have":[29],"become":[30],"a":[31,96,132,161,190,206,211,226],"standard":[32],"device":[33],"widely":[34],"used":[35],"by":[36],"intelligent":[37],"robots":[38],"for":[39],"3D":[40,50],"perception,":[41],"which":[42,159,223],"can":[43],"also":[44,149],"offer":[45],"skeletal":[47,56],"data":[48,57],"space.":[51],"Several":[52],"methods":[53,72],"based":[54],"on":[55],"were":[58,174],"designed":[59],"to":[60,84,120,140,154,164,229],"enable":[61,121,230],"robot":[62,123,192,232],"satisfactory":[68],"accuracy.":[69],"However,":[70],"previous":[71],"treated":[73],"all":[74,116],"body":[75,87,109,144],"parts":[76,88,110,145],"features":[78],"equally":[79],"important,":[80],"without":[81],"capability":[83],"identify":[85],"discriminative":[86,108],"features.":[90,147],"In":[91],"this":[92],"paper,":[93],"we":[94],"propose":[95],"novel":[97],"simultaneous":[98],"Feature":[99],"And":[100],"Body-part":[101],"Learning":[102],"(FABL)":[103],"approach":[104,204],"that":[105,201],"simultaneously":[106],"identifies":[107],"features,":[112],"efficiently":[114],"integrates":[115],"available":[117],"information":[118],"together":[119],"real-time":[122,231],"behaviors.":[127],"We":[128,148],"formulate":[129],"FABL":[130,203,225],"as":[131,187,189],"regression-like":[133],"optimization":[134,152],"structured":[137],"sparsity-inducing":[138],"norms":[139],"model":[141],"interrelationships":[142],"develop":[150],"algorithm":[153],"solve":[155],"formulated":[157],"problem,":[158],"possesses":[160],"theoretical":[162],"guarantee":[163],"find":[165],"optimal":[167],"solution.":[168],"To":[169],"evaluate":[170],"FABL,":[171],"three":[172],"experiments":[173],"performed":[175],"using":[176],"public":[177],"benchmark":[178],"datasets,":[179,186],"MSR":[182],"Action3D":[183],"CAD-60":[185],"well":[188],"Baxter":[191],"practical":[194,238],"assistive":[195],"living":[196],"applications.":[197,240],"Experimental":[198],"results":[199],"show":[200],"our":[202],"obtains":[205],"high":[207],"recognition":[208],"accuracy":[209],"processing":[212],"speed":[213],"order-of-magnitude":[216],"10":[218],"<sup":[219],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[220],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[221],"Hz,":[222],"makes":[224],"promising":[227],"method":[228],"behaviors":[236]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
