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Month: December 2020

Product Pitch

Product Pitch

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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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Alex’s Status Report for December 5th

Alex’s Status Report for December 5th

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This past 2 weeks ha been a huge progress. At this point the game side of things are finished. All the previously mentioned bugs, that potentially prevented from having a playable and robust game, are gone, and the game can be played “endlessly”. I solved the issue with switching lanes by moving the positions based on a fixed time loop instead of a velocity dependent positioning. Because it is a position dependent, when the position gets to a certain region,…

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Kayla’s Status Update for December 5th

Kayla’s Status Update for December 5th

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This week, and including last week, I worked on narrowing down the feature extraction and classification pipeline to be used for classifying EMG signals in our project. After discussing with Tarana to understand the expected data input to the SVM classifier, I created a 1×15 matrix for the feature vector to which included the max value for each electrode, five binary signals about whether or not a particular electrode fired during the recorded signal, and the peak frequency from the…

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Team Status Report for December 5th

Team Status Report for December 5th

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In the past two weeks, our team has made a lot of progress on our project. During the Thanksgiving break, we achieved the milestone set in Phase III of our schedule by completing our final integration test. As the TAs had warned us early in the semester that integration would be the most challenging part, we made sure that we kept the separate parts of our project on the right trajectory by frequently integrating everything throughout the semester. This has…

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Tarana’s Status Report for December 5th

Tarana’s Status Report for December 5th

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In the past two weeks, a lot of progress was made towards our final product. During the Thanksgiving break I worked with Kayla to build the classifier that would be used to interpret the muscle input signals and classify which movement it belonged to. We integrated together the feature extraction that Kayla had been working on along with the SVM model that I had been working on. Afterwards, we integrated our classifier with the game that Alex had been developing…

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