To analyze the EEG signals from the scalp near the visual cortex to infer what a person is seeing.
Cyton + Daisy biosensing boards. This equipment (among other BCI, HCI equipment) can be borrowed from Cambio wearable computing lab of Department of Computer Engineering, University of Peradeniya.
Gihan , Harshana , Suren , Anupamali , Nuwan, Hiruna
Python3, Numpy, Scipy, Keras, Matplotlib
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Download processing
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if not connecting. test https://github.com/OpenBCI/OpenBCI_Radio_Config_Utility press autoconnect followed by autoscan. should connect now.
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now python !
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test https://github.com/OpenBCI/OpenBCI_LSL close other processing streams before runnig "openbci_lsl.py --stream". start - /start. stop - /stop. exit - /exit.
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test - (real stuff) https://github.com/NeuroTechX/bci-workshop/blob/master/INSTRUCTIONS.md this repo has feature vectors, SVM and a bit of ML, but lots of bugs.
install required packages. no need of conda. look out for python 2. tkinter should be install using sudo apt-get)
- test run "openbci_lsl.py --stream" as before and '/start' the stream. run "exercise_01.py" (should get errors in the first run. get over it!)
tried and worked in xubuntu.
The equipment were provided by Cambio wearable computing lab at Deaprtment of Computer Engineering , Faculty of Engineering , University of Peradeniya