{"id":"https://openalex.org/W3032942404","doi":"https://doi.org/10.1145/3372278.3390738","title":"Emotion Recognition from Galvanic Skin Response Signal Based on Deep Hybrid Neural Networks","display_name":"Emotion Recognition from Galvanic Skin Response Signal Based on Deep Hybrid Neural Networks","publication_year":2020,"publication_date":"2020-06-02","ids":{"openalex":"https://openalex.org/W3032942404","doi":"https://doi.org/10.1145/3372278.3390738","mag":"3032942404"},"language":"en","primary_location":{"id":"doi:10.1145/3372278.3390738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372278.3390738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Multimedia Retrieval","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/A5058857889","display_name":"Imam Yogie Susanto","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Imam Yogie Susanto","raw_affiliation_strings":["National Tsing Hua University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063016153","display_name":"Tse\u2013Yu Pan","orcid":"https://orcid.org/0000-0001-8570-1575"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tse-Yu Pan","raw_affiliation_strings":["National Tsing Hua University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085388549","display_name":"Chien\u2010Wen Chen","orcid":"https://orcid.org/0000-0002-6891-3557"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chien-Wen Chen","raw_affiliation_strings":["National Cheng Kung University, Tainan, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan, Taiwan Roc","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029298215","display_name":"Min\u2010Chun Hu","orcid":"https://orcid.org/0000-0003-1917-2155"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Chun Hu","raw_affiliation_strings":["National Tsing Hua University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000780442","display_name":"Wen-Huang Cheng","orcid":"https://orcid.org/0000-0002-4662-7875"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Huang Cheng","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058857889"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":2.3107,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.88330321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"341","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9994999766349792,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9952999949455261,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.6949271559715271},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6302720904350281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6144441366195679},{"id":"https://openalex.org/keywords/skin-conductance","display_name":"Skin conductance","score":0.5382437705993652},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5246541500091553},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5199376344680786},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42708003520965576},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42535603046417236},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4247104525566101},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.377515584230423},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33012884855270386},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1492491364479065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6949271559715271},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6302720904350281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6144441366195679},{"id":"https://openalex.org/C111902132","wikidata":"https://www.wikidata.org/wiki/Q1326834","display_name":"Skin conductance","level":2,"score":0.5382437705993652},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5246541500091553},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5199376344680786},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42708003520965576},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42535603046417236},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4247104525566101},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.377515584230423},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33012884855270386},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1492491364479065},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3372278.3390738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372278.3390738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1239497932","https://openalex.org/W2131774270","https://openalex.org/W2194775991","https://openalex.org/W2346788504","https://openalex.org/W2592535880","https://openalex.org/W2604825588","https://openalex.org/W2750852530","https://openalex.org/W2755663312","https://openalex.org/W2766380718","https://openalex.org/W2800415045","https://openalex.org/W2808471375","https://openalex.org/W2889372159","https://openalex.org/W2917094047","https://openalex.org/W2938404524","https://openalex.org/W2966921156","https://openalex.org/W2969889150","https://openalex.org/W3140428646"],"related_works":["https://openalex.org/W4327518326","https://openalex.org/W2141696378","https://openalex.org/W1973353359","https://openalex.org/W3167332943","https://openalex.org/W1995211429","https://openalex.org/W2075530399","https://openalex.org/W2013850956","https://openalex.org/W105289849","https://openalex.org/W4375867731","https://openalex.org/W1821352908"],"abstract_inverted_index":{"Emotion":[0],"reacts":[1],"human":[2,18],"beings'":[3],"physiological":[4],"and":[5,20,49,85],"psychological":[6],"status.":[7],"Galvanic":[8],"Skin":[9],"Response":[10],"(GSR)":[11],"can":[12,68],"reveal":[13],"the":[14,26,65,77,94],"electrical":[15],"characteristics":[16],"of":[17,28,96],"skin":[19],"is":[21],"widely":[22],"used":[23],"to":[24,92],"recognize":[25],"presence":[27],"emotion.":[29],"In":[30,73],"this":[31,97],"work,":[32],"we":[33,75],"propose":[34],"an":[35],"emotion":[36,79,89],"recognition":[37,80],"frame-work":[38],"based":[39],"on":[40,82],"deep":[41],"hybrid":[42],"neural":[43],"networks,":[44],"in":[45],"which":[46],"1D":[47],"CNN":[48],"Residual":[50],"Bidirectional":[51],"GRU":[52],"are":[53],"employed":[54],"for":[55],"time":[56],"series":[57],"data":[58],"analysis.":[59],"The":[60],"experimental":[61],"results":[62],"show":[63],"that":[64],"proposed":[66,78],"method":[67],"outperform":[69],"other":[70],"state-of-the-art":[71],"methods.":[72],"addition,":[74],"port":[76],"model":[81],"Raspberry":[83],"Pi":[84],"design":[86],"a":[87],"real-time":[88],"interaction":[90],"robot":[91],"verify":[93],"efficiency":[95],"work.":[98]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
