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An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications.
Shah, Syed Mohsin Ali; Usman, Syed Muhammad; Khalid, Shehzad; Rehman, Ikram Ur; Anwar, Aamir; Hussain, Saddam; Ullah, Syed Sajid; Elmannai, Hela; Algarni, Abeer D; Manzoor, Waleed.
Afiliación
  • Shah SMA; Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad 44000, Pakistan.
  • Usman SM; Department of Creative Technologies, Faculty of Computing and AI, Air University, Islamabad 44000, Pakistan.
  • Khalid S; Department of Computer Engineering, Bahria University, Islamabad 44000, Pakistan.
  • Rehman IU; School of Computing and Engineering, The University of West London, London W5 5RF, UK.
  • Anwar A; School of Computing and Engineering, The University of West London, London W5 5RF, UK.
  • Hussain S; School of Digital Science, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE1410, Brunei.
  • Ullah SS; Department of Information and Communication Technology, University of Agder (UiA), N-4898 Grimstad, Norway.
  • Elmannai H; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
  • Algarni AD; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
  • Manzoor W; Department of Computer Engineering, Bahria University, Islamabad 44000, Pakistan.
Sensors (Basel) ; 22(24)2022 Dec 12.
Article en En | MEDLINE | ID: mdl-36560113
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Electroencefalografía / Emociones Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article
Texto completo
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Electroencefalografía / Emociones Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article