Completed

classification of emotions using EEG signals with deep learning methods -- 2

1. Dataset: DEAP dataset

2. Convert 1D EEG to 2D images

Algorithm: using short time fourier transform (STFT) (output: spectrogram)

2. Classification using deep learning

a. Inception Resnet-V2 (link: [login to view URL])

b. DenseNet121 modified (link: [login to view URL])

Notes: looking for someone who has worked on EEG or signal processing projects

Skills: Python, Matlab and Mathematica, Algorithm, Electrical Engineering, Mathematics

About the Client:
( 7 reviews ) Cilacap, Indonesia

Project ID: #34026622

Awarded to:

AbdullahIqbal93

Hi. My background is in Signal Processing and Machine Learning. Will be able to develop deep nets as per the links you have shared. Will be using Python. Let me know if interested.

$250 USD in 7 days
(48 Reviews)
5.7

33 freelancers are bidding on average $582 for this job

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