Discriminating Fake and Real Smiles Using Electroencephalogram Signals With Convolutional Neural Networks
Genuineness of smiles is of particular interest in the field of human emotions and social interactions. In this work, we develop an experimental protocol to elicit genuine and fake smile expressions on 28 healthy subjects. Then, we assess the type of smile expressions using electroencephalogram (EEG...
Saved in:
| Main Author: | Moussa, Mostafa M. (author) |
|---|---|
| Other Authors: | Tariq, Usman (author), Al Shargie, Fares (author), Al Nashash, Hasan (author) |
| Format: | article |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/11073/33308 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning
by: Moussa, Mostafa Mohamed
Published: (2020) -
Discrimination between genuine and acted expressions using EEG signals and machine learning
by: Alex, Meera
Published: (2019) -
Emotion Recognition Based on Fusion of Local Cortical Activations and Dynamic Functional Networks Connectivity: An EEG Study
by: Yahya, Fares
Published: (2019) -
In-Between Projection Interpolation in Cone-Beam CT Imaging using Convolutional Neural Networks
by: Dweek, Samaa
Published: (2022) -
Cognitive Vigilance Enhancement using Audio Stimulation of Pure Tone at 250 Hz
by: Yahya, Fares
Published: (2021)