18 lines
1.1 KiB
Markdown
18 lines
1.1 KiB
Markdown
# Analysis of Keystroke EMG data for identification
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###### EMG data handling and Neural Network analysis
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Scripts to handle CSV files composed by 2 * 8 EMG sensors(left & right) devided into sessions per subject. The raw data is organised in a CSV_handler object with Handle_emg_data.py. Processing of data can take the further form of:
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* Preprocessing with Signal_prep.py - FFT, MFCC, Wavelet db4
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* Storage for Neural Network analysis with DL_handler(Handle_emg_data.py) - combined EMG DataFrame, combined MFCCs DataFrame
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* Neural Network analysis in Neural_Network_Analysis.py - LSTM NN, etc.
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###### Technologies used
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* Common libs: Numpy, Pandas, Pathlib, Sklearn, Scipy, Matplotlib, Tensorflow, Keras
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* Indi libs: Python_speech_features, Pywt
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###### Challanges in the module
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* The CSV handlig is for the moment hard-coded to fit the current project due to a very specific file structure and respective naming convention.
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* Preprocessing is still limited in Signal_prep.py
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* Neural_Network_Analysis.py lacks a more general way to access multiple types of networks
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