Generalizable Features for Anonymizing Motion Signals Based on the Zeros of the Short-Time Fourier Transform-Reference-Cited by-同舟云学术

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Generalizable Features for Anonymizing Motion Signals Based on the Zeros of the Short-Time Fourier Transform

Published:2022-07-25 Issue:1 Volume:95 Page:89-99
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Rougé Pierre^ORCID,Moukadem Ali,Dieterlen Alain,Boutet Antoine,Frindel Carole

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11265-022-01798-9.pdf

Reference16 articles.

1. Flandrin, P. (2015). Time-frequency filtering based on spectrogram zeros. IEEE Signal Processing Letters, 22, 2137–2141.

2. Bardenet, R., Flamant, J., & Chainais, P. (2020). On the zeros of the spectrogram of white noise. Applied and Computational Harmonic Analysis, 48, 682–705.

3. Ajana, B. (2017). Digital health and the biopolitics of the quantified self. Digital Health, 3, 2055207616689509.

4. Shull, P. B., Jirattigalachote, W., Hunt, M. A., Cutkosky, M. R., & Delp, S. L. (2014). Quantified self and human movement: a review on the clinical impact of wearable sensing and feedback for gait analysis and intervention. Gait & Posture, 40, 11–19.

5. Hoogendoorn, M., & Funk, B. (2018). Machine learning for the quantified self. On the Art of Learning from Sensory Data.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Smartphone-Based Architecture for Prolonged Monitoring of Gait;2024 IEEE First International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC);2024-02-05

2. Sparse Off-the-Grid Computation of the Zeros of STFT;IEEE Signal Processing Letters;2023

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