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Product Pitch

Product Pitch

It’s estimated that 42 million people in the U.S. suffer from some form of movement disorder [1]. Whether this requires rehabilitation of the nervous system or a form of prosthetic, a common challenge that follows is proper muscle rehabilitation. We created the game MyoRun that combats deterioration of muscles and improves muscle control through continuous play. This game is an electromyography (EMG) controlled endless-runner style video game. With innovative EMG technology and an easy-to-use interface, this game is interactive, fun,…

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Kayla’s Status Update for November 21st

Kayla’s Status Update for November 21st

This week I have been continuing work on the machine learning aspect of the signal processing. I obtained my first accuracy result from splitting our 42 trials of data between training, validation, and testing data with an accuracy of 35% using a Long Short-Term Memory (LSTM) algorithm classifier. This definitely does not meet the accuracy we are aiming for so there is still work to be done in the adjustment of hyperparameters and the input feature vector. In my further…

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Tarana’s Status Report for November 14th

Tarana’s Status Report for November 14th

At the beginning of this week, our group did a demo of our project, and we got a lot of useful feedback. Byron suggested including simulated data as a part of our training data. This data would come from taking the ground truth of the signals from each muscle movement and adding noise to it. After receiving that advice, I worked on defining the “ground truth” signals of our data, by analyzing the output of our test data and averaging…

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Tarana’s Status Update for October 17th

Tarana’s Status Update for October 17th

This week, I finished assembling the full EMG system in accordance with our established protocol. This included taking apart the builtin grounding mechanism of the MyoWare electrodes to connect them all together, and connecting the 5V/REF wires along with the signal wire. The system is modular and flexible enough to work for participants of all sizes, therefore taller/shorter participants with varying arm lengths will still be able to use it. We have shifted our approach slightly in regards to diversifying…

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