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Team ExoMyo Designs Test for “Intent”

Team ExoMyo testing the BCI gear to identify "intent"
Team ExoMyo testing out a process for identifying “intent” for movement.

This is a follow up to ExoMyo’s previous post

Team ExoMyo has been hard at work co-developing the software for suit (actuator control and pilot intent) as well as the novel hardware “exomyo” actuators, each alone very challenging problems. Since the ExoMyo suit will use the BCI’s EEG signals to control speed and direction (we can’t expect EMG signals below the neck for the pilot), we have been focused on creating a testing platform that can identify a user’s intent. We know that in any individual, we will pick up (identifying is another issue) communication to muscle groups to move. First, we will be looking to identifying simple “commands” like forward, back, left and right. (even though it will be more like “that way” and “this way”) using the EEG data along with machine learning algorithms. We are using a remote control car that can record the timing of action (in this case, moving the joystick which identifies direction) in sync with the EEG data.

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binitafelicity

Team ExoMyo testing out a process for identifying “intent” for movement. This is a follow up to ExoMyo’s previous post. Team ExoMyo has been .The ExoMyo design separates the control functions leaving the balance and power to a robotic system while intent is managed by the user … Team ExoMyo is developing a full body, robotic body suit for a … and movement up to robotic algorithms and the intent to the human.below the neck for the pilot), we have been focused on creating a testing platform that can identify a user’s intent. We know that in any individual, we will pick up (identifying is another issue) communication to muscle groups to move. First, we will be looking to identifying simple “commands” like forward, back, left and right. (even though it will be more like “that way”
https://www.cps-tester.co/

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