Preprocessing and Classification of emotions using EEG(encephalography)
Budget: $30 – $250 USD
Detailed description:
1. There are 2 media: 360 and screen
2. there are 2 videos, relax video and roller coaster
each of these videos is tested on screen and in 360 so there are 4 trials
3. Compare the results of the roller coaster video pattern on screen and in VR - compare the relaxing video on screen vs. 360. using the following method:
Feature extraction
Time: hjort
Time-frequency: wavelet transform
Frequency: Power Spectral density
Classification : KNN vs SVM
Dataset
1. there are 30 participants
2. Data analyzed 2 minutes per video.
3. Marked data, removed (eyes closed)
3. The dataset I have is in the form of EDF
1. There are 2 media: 360 and screen
2. there are 2 videos, relax video and roller coaster
each of these videos is tested on screen and in 360 so there are 4 trials
3. Compare the results of the roller coaster video pattern on screen and in VR - compare the relaxing video on screen vs. 360. using the following method:
Feature extraction
Time: hjort
Time-frequency: wavelet transform
Frequency: Power Spectral density
Classification : KNN vs SVM
Dataset
1. there are 30 participants
2. Data analyzed 2 minutes per video.
3. Marked data, removed (eyes closed)
3. The dataset I have is in the form of EDF