Sit2StandPy: An Open-Source Python Package for Detecting and Quantifying Sit-to-Stand Transitions Using an Accelerometer on the Lower Back

Python Submitted 23 June 2020Published 21 August 2020
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Editor: @galessiorob (all papers)
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Authors

Lukas Adamowicz, Shyamal Patel

Citation

Adamowicz et al., (2020). Sit2StandPy: An Open-Source Python Package for Detecting and Quantifying Sit-to-Stand Transitions Using an Accelerometer on the Lower Back. Journal of Open Source Software, 5(52), 2449, https://doi.org/10.21105/joss.02449

@article{Adamowicz2020, doi = {10.21105/joss.02449}, url = {https://doi.org/10.21105/joss.02449}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {52}, pages = {2449}, author = {Lukas Adamowicz and Shyamal Patel}, title = {Sit2StandPy: An Open-Source Python Package for Detecting and Quantifying Sit-to-Stand Transitions Using an Accelerometer on the Lower Back}, journal = {Journal of Open Source Software} }
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Biomechanics Digital Biomarkers Digital Medicine Accelerometer Inertial Sensors Wearable Sensors Human Motion Activity Recognition

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