{"id":"https://openalex.org/W7163047188","doi":"https://doi.org/10.1109/arso68304.2026.11536128","title":"Non-Contact Infant Sleep Monitoring via Deep Learning-Based Facial Behavior Analysis","display_name":"Non-Contact Infant Sleep Monitoring via Deep Learning-Based Facial Behavior Analysis","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7163047188","doi":"https://doi.org/10.1109/arso68304.2026.11536128"},"language":null,"primary_location":{"id":"doi:10.1109/arso68304.2026.11536128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/arso68304.2026.11536128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO)","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/A5135418985","display_name":"Gabriela Garcia Gamarra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gabriela Garcia Gamarra","raw_affiliation_strings":["Institute for Factory Automation and Production Systems (FAPS), Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Erlangen,Germany,91058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Factory Automation and Production Systems (FAPS), Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Erlangen,Germany,91058","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137553911","display_name":"Fahad Wahab","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fahad Wahab","raw_affiliation_strings":["Institute for Factory Automation and Production Systems (FAPS), Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Erlangen,Germany,91058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Factory Automation and Production Systems (FAPS), Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Erlangen,Germany,91058","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059197069","display_name":"J\u00f6rg Franke","orcid":"https://orcid.org/0000-0003-0700-2028"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J\u00f6rg Franke","raw_affiliation_strings":["Institute for Factory Automation and Production Systems (FAPS), Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Erlangen,Germany,91058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Factory Automation and Production Systems (FAPS), Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Erlangen,Germany,91058","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5137516112","display_name":"Sebastian Reitelsh\u00f6fer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sebastian Reitelsh\u00f6fer","raw_affiliation_strings":["Institute for Factory Automation and Production Systems (FAPS), Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Erlangen,Germany,91058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Factory Automation and Production Systems (FAPS), Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Erlangen,Germany,91058","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.88341867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13289","display_name":"Infant Health and Development","score":0.43549999594688416,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13289","display_name":"Infant Health and Development","score":0.43549999594688416,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.11949999630451202,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.06030000001192093,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.4239000082015991},{"id":"https://openalex.org/keywords/polysomnography","display_name":"Polysomnography","score":0.2833000123500824},{"id":"https://openalex.org/keywords/sleep-apnea","display_name":"Sleep apnea","score":0.25699999928474426},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.24459999799728394},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.23880000412464142}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5659000277519226},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.4239000082015991},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.3783000111579895},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.32749998569488525},{"id":"https://openalex.org/C2778205975","wikidata":"https://www.wikidata.org/wiki/Q1754874","display_name":"Polysomnography","level":3,"score":0.2833000123500824},{"id":"https://openalex.org/C2777935920","wikidata":"https://www.wikidata.org/wiki/Q213600","display_name":"Sleep apnea","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.24459999799728394},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.23880000412464142},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23510000109672546},{"id":"https://openalex.org/C2910364982","wikidata":"https://www.wikidata.org/wiki/Q35831","display_name":"Sleep Stages","level":4,"score":0.23330000042915344}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/arso68304.2026.11536128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/arso68304.2026.11536128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.47835099697113037}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2011917973","https://openalex.org/W2057510698","https://openalex.org/W2087681821","https://openalex.org/W2108598243","https://openalex.org/W2329101954","https://openalex.org/W2341528187","https://openalex.org/W2576282561","https://openalex.org/W2588537361","https://openalex.org/W3039600548","https://openalex.org/W4229023800","https://openalex.org/W4282823201","https://openalex.org/W4286674072","https://openalex.org/W4297775537","https://openalex.org/W4317911159","https://openalex.org/W4382202782","https://openalex.org/W4399881311","https://openalex.org/W4402924061","https://openalex.org/W4409381945","https://openalex.org/W4415535646"],"related_works":[],"abstract_inverted_index":{"Sleep":[0],"is":[1],"essential":[2],"for":[3,29,82,124],"infant":[4,10,152],"health":[5],"and":[6,52,59,73,87,106,120,134,137,165,168],"development,":[7],"yet":[8],"assessing":[9],"sleep":[11,153],"remains":[12],"challenging":[13],"because":[14],"internal":[15],"states":[16,136],"must":[17],"be":[18],"inferred":[19],"from":[20,37,56],"observable":[21],"behavior.":[22],"This":[23],"work":[24,157],"presents":[25],"a":[26,146],"non-contact":[27,148],"method":[28],"sleep-related":[30,100,139],"behavioral":[31,101,140],"inference":[32,122],"based":[33],"on":[34],"facial":[35,57,70],"analysis":[36],"video":[38],"data.":[39],"Unlike":[40],"contact-based":[41],"sensors":[42],"or":[43],"handcrafted":[44],"feature":[45],"approaches,":[46],"the":[47,169],"proposed":[48,143],"system":[49],"learns":[50],"eye":[51,86,133],"mouth":[53,88,135],"behavior":[54],"directly":[55],"imagery":[58],"integrates":[60],"these":[61],"cues":[62],"over":[63],"time.":[64],"Video":[65],"frames":[66],"are":[67,92],"processed":[68],"using":[69],"region":[71],"detection":[72],"landmark":[74],"extraction,":[75],"followed":[76],"by":[77],"MobileNet-based":[78],"convolutional":[79],"neural":[80],"networks":[81],"binary":[83],"classification":[84],"of":[85,112,132,171],"states.":[89],"Frame-level":[90],"predictions":[91],"aggregated":[93],"through":[94],"temporal":[95],"decision":[96],"logic":[97],"to":[98,150,163],"estimate":[99],"states,":[102],"with":[103],"blink":[104],"dynamics":[105],"yawning":[107],"serving":[108],"as":[109],"complementary":[110],"indicators":[111],"transitional":[113],"phases.":[114],"Leveraging":[115],"transfer":[116],"learning":[117],"enables":[118],"efficient":[119],"robust":[121],"suitable":[123],"real-world":[125],"settings.":[126],"Experimental":[127],"results":[128],"show":[129],"reliable":[130],"estimation":[131],"stable":[138],"inference.":[141],"The":[142],"framework":[144],"provides":[145],"practical,":[147],"alternative":[149],"traditional":[151],"monitoring":[154],"systems.":[155],"Future":[156],"will":[158],"address":[159],"dataset":[160],"expansion,":[161],"robustness":[162],"occlusions":[164],"lighting":[166],"variability,":[167],"integration":[170],"multimodal":[172],"inputs.":[173]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-06-02T00:00:00"}
