wristpy: Fast, User-Friendly Python Processing of Wrist-worn Accelerometer Data

Python Submitted 05 May 2025Published 28 October 2025
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Editor: @sappelhoff (all papers)
Reviewers: @LukasAdamowicz (all reviews), @djmitche (all reviews)

Authors

Adam Santorelli (0000-0002-8951-4619), Freymon Perez, Reinder Vos de Wael, Florian Rupprecht, John Vito d'Antonio-Bertagnolli, Alexandre Franco, Gregory Kiar (0000-0001-8915-496X)

Citation

Santorelli et al., (2025). wristpy: Fast, User-Friendly Python Processing of Wrist-worn Accelerometer Data. Journal of Open Source Software, 10(114), 8637, https://doi.org/10.21105/joss.08637

@article{Santorelli2025, doi = {10.21105/joss.08637}, url = {https://doi.org/10.21105/joss.08637}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {114}, pages = {8637}, author = {Santorelli, Adam and Perez, Freymon and de Wael, Reinder Vos and Rupprecht, Florian and d'Antonio-Bertagnolli, John Vito and Franco, Alexandre and Kiar, Gregory}, title = {wristpy: Fast, User-Friendly Python Processing of Wrist-worn Accelerometer Data}, journal = {Journal of Open Source Software} }
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accelerometer physical activity sleep detection wearable sensors

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