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Hey, I'm currently writing my master thesis about handwriting recognition and using multiple devices to track the EMG, Accelerometer and Gyroscope signals. In this work, I also write a part of how my processing pipeline works vs state-of-the-art pre-processing and therefore want to run my data through your pipeline. For the EMG data it's clear how the processing pipeline looks from your framework, but which functions would you recommend to use for motion signals? Just using the signal_detrend() and signal.filter() functions? If none function directly fits, I'll only compare the EMG data :)
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Hey, I'm currently writing my master thesis about handwriting recognition and using multiple devices to track the EMG, Accelerometer and Gyroscope signals. In this work, I also write a part of how my processing pipeline works vs state-of-the-art pre-processing and therefore want to run my data through your pipeline. For the EMG data it's clear how the processing pipeline looks from your framework, but which functions would you recommend to use for motion signals? Just using the
signal_detrend()
andsignal.filter()
functions? If none function directly fits, I'll only compare the EMG data :)BR,
Lukas
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