{"id":"https://openalex.org/W3212662968","doi":"https://doi.org/10.1109/acii52823.2021.9597422","title":"Investigation into Recognizing Context Over Time using Physiological Signals","display_name":"Investigation into Recognizing Context Over Time using Physiological Signals","publication_year":2021,"publication_date":"2021-09-28","ids":{"openalex":"https://openalex.org/W3212662968","doi":"https://doi.org/10.1109/acii52823.2021.9597422","mag":"3212662968"},"language":"en","primary_location":{"id":"doi:10.1109/acii52823.2021.9597422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii52823.2021.9597422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)","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/A5036026405","display_name":"Saurabh Hinduja","orcid":"https://orcid.org/0000-0003-1637-5950"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saurabh Hinduja","raw_affiliation_strings":["Dept. Computer Science and Engineering, University of South Florida, Tampa, Florida"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science and Engineering, University of South Florida, Tampa, Florida","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074085320","display_name":"Gurmeet Kaur","orcid":"https://orcid.org/0000-0003-2442-1515"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gurmeet Kaur","raw_affiliation_strings":["MUMA College of Business, University of South Florida, Tampa, Florida"],"affiliations":[{"raw_affiliation_string":"MUMA College of Business, University of South Florida, Tampa, Florida","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046724184","display_name":"Shaun Canavan","orcid":"https://orcid.org/0000-0002-1538-476X"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaun Canavan","raw_affiliation_strings":["Dept. Computer Science and Engineering, University of South Florida, Tampa, Florida"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science and Engineering, University of South Florida, Tampa, Florida","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036026405"],"corresponding_institution_ids":["https://openalex.org/I2613432"],"apc_list":null,"apc_paid":null,"fwci":1.1653,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76583025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.8576375246047974},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7304472327232361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7076300382614136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6591028571128845},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6112462282180786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5782651305198669},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5171443819999695},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.46995997428894043},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46603816747665405},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.44543224573135376},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1633337140083313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12138301134109497}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.8576375246047974},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7304472327232361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7076300382614136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6591028571128845},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6112462282180786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5782651305198669},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5171443819999695},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.46995997428894043},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46603816747665405},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.44543224573135376},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1633337140083313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12138301134109497},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acii52823.2021.9597422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii52823.2021.9597422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W162312498","https://openalex.org/W1595126664","https://openalex.org/W2002055708","https://openalex.org/W2045839774","https://openalex.org/W2075126953","https://openalex.org/W2100730338","https://openalex.org/W2100804571","https://openalex.org/W2104067190","https://openalex.org/W2117897510","https://openalex.org/W2120945046","https://openalex.org/W2145710484","https://openalex.org/W2146558719","https://openalex.org/W2153771043","https://openalex.org/W2162825184","https://openalex.org/W2184502093","https://openalex.org/W2260011764","https://openalex.org/W2275733078","https://openalex.org/W2295001676","https://openalex.org/W2306941105","https://openalex.org/W2470957930","https://openalex.org/W2525221147","https://openalex.org/W2525648609","https://openalex.org/W2538626945","https://openalex.org/W2565944610","https://openalex.org/W2594181946","https://openalex.org/W2609133580","https://openalex.org/W2626113459","https://openalex.org/W2728466526","https://openalex.org/W2781924583","https://openalex.org/W2784364495","https://openalex.org/W2797694788","https://openalex.org/W2806252222","https://openalex.org/W2911964244","https://openalex.org/W2979903110","https://openalex.org/W2986002983","https://openalex.org/W2995961207","https://openalex.org/W2997399314","https://openalex.org/W3003720578","https://openalex.org/W3006012949","https://openalex.org/W3012197804","https://openalex.org/W3035336958","https://openalex.org/W3102093970","https://openalex.org/W3110712506","https://openalex.org/W3115002575","https://openalex.org/W3127053097","https://openalex.org/W3127609451","https://openalex.org/W4205646471","https://openalex.org/W4230277160","https://openalex.org/W4233973055","https://openalex.org/W4238605514","https://openalex.org/W4244777963","https://openalex.org/W4287553441","https://openalex.org/W4290610135","https://openalex.org/W6600284362","https://openalex.org/W6606598949","https://openalex.org/W6609812193","https://openalex.org/W6650808394","https://openalex.org/W6684382393","https://openalex.org/W6693046712","https://openalex.org/W6727376635","https://openalex.org/W6741091603","https://openalex.org/W6784931215","https://openalex.org/W6786758005","https://openalex.org/W6805713804"],"related_works":["https://openalex.org/W2008630378","https://openalex.org/W2118717649","https://openalex.org/W1958015814","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305","https://openalex.org/W4225593417","https://openalex.org/W2035068594","https://openalex.org/W2059783833","https://openalex.org/W2573498121"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,16,31,97],"investigate":[4],"recognizing":[5,65],"context":[6,25,66],"over":[7,27,67],"time":[8],"using":[9,46],"physiological":[10,75],"signals.":[11,76],"Using":[12],"the":[13,56,71,78,91,100,106],"CASE":[14],"dataset":[15],"evaluate":[17,32],"both":[18],"unimodal":[19,93],"and":[20,49,122],"multimodal":[21],"approaches":[22],"to":[23,70],"physiological-based":[24],"recognition,":[26,30],"time.":[28],"For":[29],"a":[33,83,114],"random":[34],"forest,":[35],"as":[36,38],"well":[37],"state-of-the-art":[39],"neural":[40],"network.":[41],"These":[42],"classifiers":[43],"are":[44,102,107],"evaluated":[45],"accuracy,":[47,86],"Kappa,":[48],"F1-Macro":[50],"metrics.":[51],"Our":[52],"results":[53,89],"suggest":[54],"that":[55],"fusion":[57,72,79],"of":[58,73,80],"EMG":[59],"signals":[60,101],"is":[61],"more":[62],"accurate,":[63],"at":[64],"time,":[68],"compared":[69],"non-EMG":[74,81],"Although":[77],"has":[82],"comparatively":[84],"higher":[85],"ECG":[87],"data":[88,121],"in":[90],"highest":[92],"accuracy.":[94],"Considering":[95],"this,":[96],"analyze":[98],"how":[99],"correlated,":[103],"including":[104],"when":[105],"fused":[108],"(i.e.":[109],"multimodal).":[110],"We":[111],"also":[112],"perform":[113],"cross-gender":[115],"analysis":[116],"(e.g.":[117],"training":[118],"on":[119,124],"male":[120],"testing":[123],"female":[125],"data)":[126],"suggesting":[127],"some":[128],"generalizability":[129],"across":[130],"gender.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}