{"id":"https://openalex.org/W4405785197","doi":"https://doi.org/10.1109/iros58592.2024.10802830","title":"Learned Sensor Fusion For Robust Human Activity Recognition in Challenging Environments","display_name":"Learned Sensor Fusion For Robust Human Activity Recognition in Challenging Environments","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405785197","doi":"https://doi.org/10.1109/iros58592.2024.10802830"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10802830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10802830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Max Conway","orcid":null},"institutions":[{"id":"https://openalex.org/I131651094","display_name":"University of Denver","ror":"https://ror.org/04w7skc03","country_code":"US","type":"education","lineage":["https://openalex.org/I131651094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Max Conway","raw_affiliation_strings":["University of Denver,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Denver,Department of Computer Science","institution_ids":["https://openalex.org/I131651094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027081467","display_name":"Brian Reily","orcid":"https://orcid.org/0000-0001-5559-422X"},"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"]},{"id":"https://openalex.org/I2802705668","display_name":"United States Army Combat Capabilities Development Command","ror":"https://ror.org/02rdkx920","country_code":"US","type":"other","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Reily","raw_affiliation_strings":["DEVCOM U.S. Army Research Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEVCOM U.S. Army Research Laboratory","institution_ids":["https://openalex.org/I166416128","https://openalex.org/I2802705668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086242162","display_name":"Christopher Reardon","orcid":"https://orcid.org/0000-0003-1393-2256"},"institutions":[{"id":"https://openalex.org/I131651094","display_name":"University of Denver","ror":"https://ror.org/04w7skc03","country_code":"US","type":"education","lineage":["https://openalex.org/I131651094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Reardon","raw_affiliation_strings":["University of Denver,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Denver,Department of Computer Science","institution_ids":["https://openalex.org/I131651094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59651311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"11537","last_page":"11543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9702000021934509,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9702000021934509,"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":0.6600467562675476},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5830783843994141},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5539681315422058},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5336172580718994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5308417081832886},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45754382014274597}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6600467562675476},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5830783843994141},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5539681315422058},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5336172580718994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5308417081832886},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45754382014274597},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros58592.2024.10802830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10802830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2036196300","https://openalex.org/W2054780155","https://openalex.org/W2127488342","https://openalex.org/W2144380653","https://openalex.org/W2146055337","https://openalex.org/W2224196924","https://openalex.org/W2296311849","https://openalex.org/W2297328716","https://openalex.org/W2331286888","https://openalex.org/W2594243030","https://openalex.org/W2764145045","https://openalex.org/W2805186955","https://openalex.org/W2913124213","https://openalex.org/W2944006115","https://openalex.org/W2962730651","https://openalex.org/W2963155035","https://openalex.org/W2981304952","https://openalex.org/W3004178873","https://openalex.org/W3089245228","https://openalex.org/W3090868139","https://openalex.org/W3158128549","https://openalex.org/W3160634503","https://openalex.org/W3173621652","https://openalex.org/W3203368377","https://openalex.org/W4212935157","https://openalex.org/W4221042863","https://openalex.org/W4226007707","https://openalex.org/W4315489461","https://openalex.org/W4320036619","https://openalex.org/W4321483870","https://openalex.org/W4376132550","https://openalex.org/W4385581784","https://openalex.org/W6750355821","https://openalex.org/W6754337694","https://openalex.org/W6762718338","https://openalex.org/W6775189568"],"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":{"Human":[0],"activity":[1,74],"recognition":[2,75,83],"is":[3,149,189],"a":[4,86,111,134],"vital":[5],"area":[6],"of":[7,43,90,105,113,137],"robotics":[8,178],"with":[9,56,119],"significant":[10],"real-world":[11,44,177],"applications,":[12,179],"from":[13,52,141],"enhancing":[14],"security":[15],"and":[16,21,40,127],"surveillance":[17],"to":[18,95,151,167],"improving":[19],"healthcare":[20],"human-robot":[22],"interaction.":[23],"A":[24],"critical":[25],"challenge":[26],"lies":[27],"in":[28,80,171,183],"bridging":[29],"the":[30,41],"gap":[31],"between":[32],"research":[33],"models,":[34],"which":[35,81],"often":[36],"assume":[37],"ideal":[38],"conditions,":[39],"complexities":[42],"environments.":[45],"In":[46,64,103,176],"practice,":[47],"conditions":[48],"can":[49],"be":[50],"far":[51],"perfect,":[53],"including":[54],"scenarios":[55],"poor":[57],"lighting,":[58],"adverse":[59],"weather,":[60],"or":[61],"blurred":[62],"views.":[63],"this":[65,187],"paper,":[66],"we":[67,108],"present":[68],"an":[69],"innovative":[70],"approach":[71,132,148,162],"for":[72],"robust":[73],"through":[76],"learned":[77],"sensor":[78],"fusion,":[79],"our":[82,106,147],"framework":[84],"identifies":[85,133],"latent":[87],"weighted":[88,135],"combination":[89,136],"input":[91],"modalities,":[92],"enabling":[93],"classifiers":[94],"capitalize":[96],"on":[97],"advantages":[98],"provided":[99],"by":[100],"various":[101],"sensors.":[102],"support":[104],"work,":[107],"have":[109],"released":[110],"dataset":[112],"human":[114],"activities":[115],"across":[116],"multiple":[117],"modalities":[118],"environmental":[120],"degradation":[121],"factors":[122],"such":[123],"as":[124],"darkness,":[125],"fog,":[126],"thermal":[128],"blur.":[129],"Our":[130,161],"proposed":[131],"modality":[138,168],"representations":[139],"derived":[140],"existing":[142,158],"architectures.":[143],"We":[144],"show":[145],"that":[146],"able":[150],"achieve":[152],"24%":[153],"higher":[154],"classification":[155,174],"performance":[156,166],"than":[157],"single-modality":[159],"approaches.":[160],"also":[163],"attains":[164],"comparable":[165],"fusion":[169],"approaches":[170],"significantly":[172],"reduced":[173],"time.":[175],"particularly":[180],"those":[181],"occurring":[182],"dangerous,":[184],"degraded":[185],"environments,":[186],"speed":[188],"critical.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}