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License: MIT License
Package for analyzing human motion data (e.g. PA, gait)
License: MIT License
add tests
Create a tutorial and upload as a jupyter notebook
step_reg, stride_reg = sm.gait.step_regularity(ac_peak_values)
File ".../python3.6/site-packages/sensormotion-1.1.0-py3.6.egg/sensormotion/gait.py", line 128, in step_regularity
ac_d2 = peaks_half[2] # second dominant period i.e. a stride (left-left)
sm.gait.step_regularity IndexError: index 2 is out of bounds for axis 0 with size 2
Hey,
I'm using your package right now to generate features for a dataset.
I have looked at the paper by Moe Nilssen et al. and tried to follow the steps for calculating step and stride regularity. However, I wonder why you still do the following calculation at the end:
step_reg = ac_d1 / ac_lag0
stride_reg = ac_d2 / ac_lag0
Can you help me with this?
allow vector magnitude/magnitude of acceleration to be calculated for an arbitrary number of input vectors
Do you have any examples where a 1.) step is to open a demo cvs file, and parse the necessary data to be able to apply your package to the data?
I'm needing help starting from square one.
Android-Go01_MetaWear-01_2022-03-26T11.14.56.138_F5EC5C968CB3_Accelerometer_1.3.6.csv
pip install
gives an error as setup.py
cant find the file VERSION
Hi
I'm very interested in using this library in my project. I have a test of 2min walking at 100Hz and I collect the data from accelerometer, gyro and magnetometer of an Iphone 6.
I'm trying to use the library with my data but I could understand some things. For example this function sm.peak.find_peaks(ac_lags, ac, peak_type='peak', min_val= 0.6, min_dist=32, plot=True). What are the suitable values of min_val and min_dist parameters? Are they problem dependent? I have tried with many values and the step estimation is not correct.
Please, could you help me?
Best regards
Improve the API for plotting of multiple signals in the same graph
Fix PDF rendering on readthedocs:
I am using sensormotion.py package for finding peaks for one of my applications. I want to know how normalized min_value (0-1) in peak.find_peaks is related to minimum detectable peak value.
The version number in the browser tab is incorrect and always shows 1.0.0
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