emotion classification using EEG with KNN and SVM
Budget: $100 – $110 USD
1. Private Dataset
2. Ground truth/treshold: clustering
3. Classification of the 2 classes, namely high valence-low valence or high arousal-low arousal
4. Featute extraction domain frequency(PSD)
a. FFT
b. FFT+ICA
Code in Python
Looking for someone who has experience processing EEG and knows the ground truth in EEG
2. Ground truth/treshold: clustering
3. Classification of the 2 classes, namely high valence-low valence or high arousal-low arousal
4. Featute extraction domain frequency(PSD)
a. FFT
b. FFT+ICA
Code in Python
Looking for someone who has experience processing EEG and knows the ground truth in EEG
Related categories:
Python
Matlab and Mathematica
Machine Learning (ML)
Signal Processing
Deep Learning