Brain-Computer Interface(BCI) Controlled Exoskeleton Arm, Arm Clenching Used AI
I am making a Brain-Computer Interface(BCI) Controlled Exoskeleton Arm targeted at those with paralysis, specifically monoplegia. My main focus right now is to make a 1D CNN model to understand what direction the user wants to move the exoskeleton arm.
This part of the project is to program solely the open and closing arm mechanism.
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Timeline
I completed the data acquisition and model training phase of my 1d CNN model! Now I can make multiple models, and conduct a validation test and find out which model has the highest accuracy.
I managed to code the whole file that receives data from the brain computer interface, specifically the ultracortex mark iv. This means that I can now receive filtered, EEG data!
My next steps are to combine this code with my previous machine learning model code and see the accuracy of the model.
Aarav
7 days ago
Managed to complete my training function, which will let me classify the user controls. I have almost completed building my first one-dimensional convolutional neural network. The next steps are to build multiple models where I can run a validation test to fine-tune and optimize a model during the training process.
I can share some photos later on of the arm moving.
Made lots of progress in collecting the data, now that I finished the function. Also started on window extraction.
