Laura
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Unfortunately this is not possible for sensor fusion signals. You need to receive all parts of the euler angles (roll, pitch, yaw) and then just post-process it (delete the value you don't need).
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Maybe you have the MAC address wrong? try just the python scanning example to see if your python based machine detects the sensor and confirm the MAC address.
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Does it work with the metabase app?
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I recommend reading up on Python scripting.
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Please read the parse_value code and also see our tutorial and the C tutorial about data types
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def test_read_battery_state(self): expected= [0x11, 0xcc] battery_signal= self.libmetawear.mbl_mw_settings_get_battery_state_data_signal(self.board) self.libmetawear.mbl_mw_datasignal_read(battery_signal) self.assertEqual(self.comma…
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https://github.com/mbientlab/MetaWear-SDK-Cpp/blob/master/test/test_settings.py#L66
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Real world data isn't perfect. It is your job to do averaging and noise filtering. You can read about great techniques for this online and look at basic averaging and low pass filters. You could also consider using the gravity free acceleration o…
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Yes, this is possible and you can go through our tutorials and example code. However, if you are not comfortable with coding, you can achieve the same thing with our MetaBase App on the app stores.
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We also have Python APIs.
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We do not support this. You would have to do the import/translation yourself. I know this has already been done by other users so I recommend looking around.
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Install the module six, do what the error says and use the internet to guide you through what others have done: https://stackoverflow.com/questions/13967428/importerror-no-module-named-six * pip install six
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The Bosch sensor fusion is always 100Hz. If you want to change that you have to downsample using our APIs. You can stream the raw sensor data and use an external sensor fusion library if you want to. We don't have experience with that, we just u…
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Use our Java Apis
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You have to use our APIs to communicate with the board.
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Start at the install portion of our tutorial first. You are going straight to the code section but you haven't followed any of our install how-to steps.
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All data is provided with a timestamp which you can use to sync the data. Please see our tutorials regarding this subject.
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It is up to you to decide based on what matlab will accept.
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You need to use our APIs for that.
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Hi Omri, We do not support streaming into matlab. You can import our CSV files into matlab for post processing.
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What is this? Please read our forum guidelines before posting or this post will be deleted.
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This looks all correct. You only read the signal once so you got one sample. Please read our tutorials, some signal need timers to be read more than once: https://mbientlab.com/tutorials/CPPDevelopment.html#reading
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Please check this out for help: https://github.com/mbientlab/MetaWear-SDK-Cpp/blob/master/test/test_gpio.py
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You need to make sure using btmon and other ble tool that the connections are actually split up over the different dongles. That's the first and most important thing to do. Based on your details, it doesn't seem like the OS is actually dividing up …
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Use the versions for npm and node in our tutorial.
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Hi @parthp, You can import our C# APIs into Unity.
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Did you send it a start packet? You send the SGP30 a packet from the metawear to the sensor on the i2c bus. Then it starts the data stream. Then the metawear will receive a bunch of I2C packets with the data from the sgp30. https://i2c.info/
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Yes, as I said, it is possible but you need to use our APIs for the BLE packet decoding.
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No this is not possible.
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Yes but it doesn't affect you negatively in any way.