A DIY Calorie Counter More Accurate Than a Smartphone
Cars That Think
SEPTEMBER 28, 2021
A 2017 study looked at seven such typical devices, and found their counts were off between 27 and 93 percent , depending on the device. We used the NumPy scientific computing library for storing data in a convenient format, and the Scikit-learn machine-learning library for analyzing motion data from the IMUs.
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