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A Hybrid Multimodal Emotion Recognition Framework for UX Evaluation Using Generalized Mixture Functions.
Razzaq, Muhammad Asif; Hussain, Jamil; Bang, Jaehun; Hua, Cam-Hao; Satti, Fahad Ahmed; Rehman, Ubaid Ur; Bilal, Hafiz Syed Muhammad; Kim, Seong Tae; Lee, Sungyoung.
Afiliação
  • Razzaq MA; Department of Computer Science, Fatima Jinnah Women University, Rawalpindi 46000, Pakistan.
  • Hussain J; Ubiquitous Computing Lab, Department of Computer Science and Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si 17104, Republic of Korea.
  • Bang J; Department of Data Science, Sejong University, Seoul 30019, Republic of Korea.
  • Hua CH; Hanwha Corporation/Momentum, Hanwha Building, 86 Cheonggyecheon-ro, Jung-gu, Seoul 04541, Republic of Korea.
  • Satti FA; Ubiquitous Computing Lab, Department of Computer Science and Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si 17104, Republic of Korea.
  • Rehman UU; Ubiquitous Computing Lab, Department of Computer Science and Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si 17104, Republic of Korea.
  • Bilal HSM; Department of Computing, School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
  • Kim ST; Ubiquitous Computing Lab, Department of Computer Science and Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si 17104, Republic of Korea.
  • Lee S; Department of Computing, School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
Sensors (Basel) ; 23(9)2023 Apr 28.
Article em En | MEDLINE | ID: mdl-37177574
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Inteligência Artificial Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Paquistão País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Inteligência Artificial Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Paquistão País de publicação: Suíça