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Real-Time Stress Assessment Using Sliding Window Based Convolutional Neural Network.
Naqvi, Syed Faraz; Ali, Syed Saad Azhar; Yahya, Norashikin; Yasin, Mohd Azhar; Hafeez, Yasir; Subhani, Ahmad Rauf; Adil, Syed Hasan; Al Saggaf, Ubaid M; Moinuddin, Muhammad.
Afiliación
  • Naqvi SF; Center for Intelligent Signal and Imaging Research (CISIR), Electrical and Electronics Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia.
  • Ali SSA; Center for Intelligent Signal and Imaging Research (CISIR), Electrical and Electronics Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia.
  • Yahya N; Center for Intelligent Signal and Imaging Research (CISIR), Electrical and Electronics Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia.
  • Yasin MA; Department of Psychiatry, Universiti Sains Malaysia Health Campus, Kota Bharu 16150, Malaysia.
  • Hafeez Y; Center for Intelligent Signal and Imaging Research (CISIR), Electrical and Electronics Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia.
  • Subhani AR; Center for Intelligent Signal and Imaging Research (CISIR), Electrical and Electronics Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia.
  • Adil SH; Department of Computer Science, Iqra University, Karachi 75500, Pakistan.
  • Al Saggaf UM; Center of Excellence in Intelligent Engineering Systems, Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudia Arabia.
  • Moinuddin M; Center of Excellence in Intelligent Engineering Systems, Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudia Arabia.
Sensors (Basel) ; 20(16)2020 Aug 07.
Article en En | MEDLINE | ID: mdl-32784531

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Malasia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Malasia Pais de publicación: Suiza