{"id":"https://openalex.org/W2907540519","doi":"https://doi.org/10.1109/icarcv.2018.8581349","title":"Activity Recognition Based on RGB-D and Thermal Sensors for Socially Assistive Robots","display_name":"Activity Recognition Based on RGB-D and Thermal Sensors for Socially Assistive Robots","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2907540519","doi":"https://doi.org/10.1109/icarcv.2018.8581349","mag":"2907540519"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2018.8581349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2018.8581349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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/A5089096600","display_name":"Mihaela Sorostinean","orcid":null},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mihaela Sorostinean","raw_affiliation_strings":["Computer Science and System Engineering Department, Universit Paris Saclay, Palaiseau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and System Engineering Department, Universit Paris Saclay, Palaiseau, France","institution_ids":["https://openalex.org/I277688954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066791819","display_name":"Adriana Tapus","orcid":"https://orcid.org/0000-0002-2793-4511"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Adriana Tapus","raw_affiliation_strings":["Computer Science and System Engineering Department, Universit Paris Saclay, Palaiseau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and System Engineering Department, Universit Paris Saclay, Palaiseau, France","institution_ids":["https://openalex.org/I277688954"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I277688954"],"apc_list":null,"apc_paid":null,"fwci":0.104,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.48045867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"64","issue":null,"first_page":"1298","last_page":"1304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9970999956130981,"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/robot","display_name":"Robot","score":0.8307274580001831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7394698262214661},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7141785621643066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6820081472396851},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6298877596855164},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.5551062226295471},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5546398162841797},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.48908931016921997},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.485200434923172},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4145178198814392},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3707174062728882}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.8307274580001831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7394698262214661},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7141785621643066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6820081472396851},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6298877596855164},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.5551062226295471},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5546398162841797},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.48908931016921997},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.485200434923172},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4145178198814392},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3707174062728882}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icarcv.2018.8581349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2018.8581349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02447107v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02447107","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), Nov 2018, Singapore, France. pp.1298-1304, ⟨10.1109/ICARCV.2018.8581349⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1833143043","https://openalex.org/W1947481528","https://openalex.org/W1950788856","https://openalex.org/W2034235631","https://openalex.org/W2058256495","https://openalex.org/W2132734311","https://openalex.org/W2137099741","https://openalex.org/W2143267104","https://openalex.org/W2145546283","https://openalex.org/W2154889144","https://openalex.org/W2163605009","https://openalex.org/W2510185399","https://openalex.org/W2511929793","https://openalex.org/W2556782416","https://openalex.org/W2737087486","https://openalex.org/W2950568498","https://openalex.org/W2962851488","https://openalex.org/W2964134613","https://openalex.org/W6640754710","https://openalex.org/W6679404632","https://openalex.org/W6684191040","https://openalex.org/W6725062358","https://openalex.org/W6730028046"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W2281498195","https://openalex.org/W4293226380","https://openalex.org/W1508899372","https://openalex.org/W2017526120","https://openalex.org/W2610664080","https://openalex.org/W2012658348","https://openalex.org/W2188304107","https://openalex.org/W2039460805","https://openalex.org/W4250956039"],"abstract_inverted_index":{"For":[0],"socially":[1],"assistive":[2],"robots,":[3,24],"being":[4],"able":[5],"to":[6,46,68,130],"recognize":[7],"basic":[8],"human":[9],"actions":[10,57],"is":[11],"an":[12,89],"important":[13],"capability.":[14],"The":[15],"sensors,":[16],"which":[17,62],"are":[18],"frequently":[19],"mounted":[20],"on":[21,43,77],"most":[22],"recent":[23],"such":[25],"as":[26,31,33,129],"RGB-D":[27,69],"and":[28,71,115],"thermal":[29,64,99],"cameras,":[30],"well":[32],"the":[34,41,93,103,109,132],"advances":[35],"in":[36,58,66,142],"deep":[37],"learning":[38],"have":[39],"enabled":[40,137],"research":[42],"activity":[44],"recognition":[45,104,140],"grow.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51,72,107],"collected":[52],"our":[53,86,113],"own":[54],"dataset":[55],"of":[56,112,134],"a":[59,74,117,121,135,143],"home-like":[60],"scenario,":[61],"contains":[63],"imagery":[65],"addition":[67],"data":[70],"proposed":[73],"method":[75,87],"based":[76],"Long-term":[78],"Recurrent":[79],"Convolutional":[80],"Networks":[81],"(LRCN).":[82],"We":[83,95],"showed":[84],"that":[85,98],"has":[88],"accuracy":[90],"comparable":[91],"with":[92,120,138],"state-of-the-art.":[94],"also":[96],"proved":[97],"information":[100],"can":[101],"improve":[102],"accuracy.":[105],"Furthermore,":[106],"tested":[108],"real-time":[110,118],"capability":[111,141],"system":[114],"conducted":[116],"experiment":[119],"robot":[122,124,136],"(Pepper":[123],"from":[125],"Softbank":[126],"Robotics)":[127],"so":[128],"investigate":[131],"effect":[133],"action":[139],"human-robot":[144],"interaction.":[145]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}