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of 17
pro vyhledávání: '"Naveen Masood"'
Autor:
Naveen Masood, Humera Farooq
Publikováno v:
Brain Sciences, Vol 11, Iss 6, p 696 (2021)
Most electroencephalography (EEG)-based emotion recognition systems rely on a single stimulus to evoke emotions. These systems make use of videos, sounds, and images as stimuli. Few studies have been found for self-induced emotions. The question “i
Externí odkaz:
https://doaj.org/article/90d4ce551dea41b4a609fd7517a10c64
Autor:
Humera Farooq, Naveen Masood
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 41:299-315
Most of the electroencephalography (EEG) based emotion recognition systems rely on single stimulus to evoke emotions. EEG data is mostly recorded with higher number of electrodes that can lead to data redundancy and longer experimental setup time. Th
Autor:
Naveen Masood, Humera Farooq
Publikováno v:
Sensors, Vol 19, Iss 3, p 522 (2019)
Most electroencephalography (EEG) based emotion recognition systems make use of videos and images as stimuli. Few used sounds, and even fewer studies were found involving self-induced emotions. Furthermore, most of the studies rely on single stimuli
Externí odkaz:
https://doaj.org/article/02fcb22603304ba9aecc7490b687dbab
Autor:
Humera Farooq, Naveen Masood
Publikováno v:
Brain Sciences
Volume 11
Issue 6
Brain Sciences, Vol 11, Iss 696, p 696 (2021)
Volume 11
Issue 6
Brain Sciences, Vol 11, Iss 696, p 696 (2021)
Most electroencephalography (EEG)-based emotion recognition systems rely on a single stimulus to evoke emotions. These systems make use of videos, sounds, and images as stimuli. Few studies have been found for self-induced emotions. The question “i
Autor:
Humera Farooq, Naveen Masood
Publikováno v:
Human-Computer Interaction. Theories, Methods, and Human Issues ISBN: 9783319912370
HCI (1)
HCI (1)
A large number of existing real-time emotion recognition systems use stimuli with low ecological validity to elicit emotions. Furthermore, most of the emotion-based studies have used single stimuli to evoke emotions. In order to address these issues,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f3aebfd74110701e48d5e67519c894e
https://doi.org/10.1007/978-3-319-91238-7_34
https://doi.org/10.1007/978-3-319-91238-7_34
Publikováno v:
2017 International Conference on Communication, Computing and Digital Systems (C-CODE).
Most of the Electroencephalography (EEG) based brain computer interfaces (BCIs) use large number of channels to capture the signals from subject's brain. This is one of the major issues in commercial and out of the lab usage of such systems. Common S
Autor:
Naveen Masood, Humera Farooq
Publikováno v:
Advances in Neuroergonomics and Cognitive Engineering ISBN: 9783319416908
Within the field of Brain Computer Interfacing (BCI), Electroencephalography (EEG) is the most widely applied modality. But most of the EEG based BCI applications use expensive sensors for capturing brain data. In order to make these systems accessib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7f2622bd9de1e6ff89ffb501ca5f351
https://doi.org/10.1007/978-3-319-41691-5_12
https://doi.org/10.1007/978-3-319-41691-5_12
Autor:
Masood, Naveen1 (AUTHOR) navinza@hotmail.com, Farooq, Humera2 (AUTHOR)
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2021, Vol. 41 Issue 1, p299-315. 17p.
Autor:
Masood, Naveen1 (AUTHOR) navinza@hotmail.com, Farooq, Humera2 (AUTHOR) humerafarooq.bukc@bahria.edu.pk
Publikováno v:
Brain Sciences (2076-3425). Jun2021, Vol. 11 Issue 6, p696-696. 1p.
Autor:
Masood, Naveen1 navinza@hotmail.com, Farooq, Humera2 humerafarooq.bukc@bahria.edu.pk
Publikováno v:
Sensors (14248220). Feb2019, Vol. 19 Issue 3, p522. 1p.