YuminosukeSato
YuminosukeSato
About
- Username
- YuminosukeSato
- Location
- Japan
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- Member
- Location
- Japan
Comments
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Which is recommended to acquire brain wave signals in real time, python's open BCI library or braveflow?
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I would like to classify multi-tasking (for example, watching a movie on a smartphone at the same time) and single-tasking (for example, concentrating only on watching a movie).
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Thank you for your multiple responses.
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I would like to get an EEG with MindaffectBCI, but I can't figure out how to do it from the tutorial. My questions are as follows 1. In which folder should I write the code to get EEG? (Branflow) 2. I don't know how to classify the EEG with this. …
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Can CSP be utilized for EEGs taken with cVEP?
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If I acquire EEG with mindaffect bci, can I apply machine learning without any preprocessing such as fft?
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How do I resolve this error?
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thank you.
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WinError 10061] Could not connect because it was rejected by the target computer.
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I didn't mess with the settings and it came out in Japanese from the beginning. Translated into English, FileNotFoundError: [WinError 2] The specified file cannot be found.
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Loading config from: C:/Users/81804/pymindaffectBCI/mindaffectBCI/debug.json Saving to C:\Users\81804/Desktop/logs Running command: ('java', '-jar', 'UtopiaServer.jar', '8400', '0', 'C:\\Users\\81804/Desktop/logs\\mindaffectBCI_debug.txt') Traceback…
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I get an error in Installation Check.
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Does it mean that brain waves are also fetched with BCI of mindaffect? Or does it mean that brain waves are taken with openBCI?
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If brain waves are acquired using cVEP, what should MNE be used for preprocessing? Do you use CSP? Or is it better not to use MN?
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Thank you.
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I emailed the details of the error to the mindaffect group and asked, but I didn't get a reply. I asked github a question, but it didn't come back.
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Isn't it difficult to do things like separation of brain waves caused by exercise (for example, right hand, left hand, right foot, left foot)? Besides, it is difficult to separate words by thinking of words in your head (remembering forward), isn't …
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Is it difficult to separate more than 7 commands from the brain waves caused by "exercise"? If so, why do you think it is difficult?
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Is it possible to classify brain waves by command only by brain waves such as moving the drone forward without using P300 or SSVEP? If possible, I'm currently using openBCI, cyton 16ch. Is there any good example?
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thank you.
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I'm sorry. I'll do it in that thread.
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I get the brain waves when I move my right hand and the brain waves when I move my left hand. It's not myoelectric. Specifically, I want to acquire brain waves that I want to move my right hand. Use that brain wave as a command to move the drone.
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Hold your right hand to move forward. Hold your left hand to move backwards. The signal of the muscle of the hand is read by the brain wave and the drone is moved.
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This is a BCI paradigm that can acquire brain waves in real time in MATLAB.
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I want to process brain waves in MATLAB instead of python. So, is there any open platform that can be used with MATLAB?
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I'm trying to move the drone with brain waves. I'm trying to send commands from OPEBCI to python via UDP and analyze them in MATLAB. I would appreciate it if you could tell me how to use it. @retiutut
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I used UDP in networking. Data type is time serious.
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import socket import time import re import numpy as np import matlab class matserver: def __init__(self,ip,port): self.ip = ip # 受信元IP self.port = port # 受信元ポート番…