{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,19]],"date-time":"2025-04-19T07:26:25Z","timestamp":1745047585063,"version":"3.37.3"},"reference-count":16,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T00:00:00Z","timestamp":1658707200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T00:00:00Z","timestamp":1658707200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Sign Process Syst"],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1007\/s11265-022-01798-9","type":"journal-article","created":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T16:03:46Z","timestamp":1658765026000},"page":"89-99","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Generalizable Features for Anonymizing Motion Signals Based on the Zeros of the Short-Time Fourier Transform"],"prefix":"10.1007","volume":"95","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2448-3935","authenticated-orcid":false,"given":"Pierre","family":"Roug\u00e9","sequence":"first","affiliation":[]},{"given":"Ali","family":"Moukadem","sequence":"additional","affiliation":[]},{"given":"Alain","family":"Dieterlen","sequence":"additional","affiliation":[]},{"given":"Antoine","family":"Boutet","sequence":"additional","affiliation":[]},{"given":"Carole","family":"Frindel","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,25]]},"reference":[{"key":"1798_CR1","doi-asserted-by":"publisher","first-page":"2137","DOI":"10.1109\/LSP.2015.2463093","volume":"22","author":"P Flandrin","year":"2015","unstructured":"Flandrin, P. (2015). Time-frequency filtering based on spectrogram zeros. IEEE Signal Processing Letters, 22, 2137\u20132141.","journal-title":"IEEE Signal Processing Letters"},{"key":"1798_CR2","doi-asserted-by":"publisher","first-page":"682","DOI":"10.1016\/j.acha.2018.09.002","volume":"48","author":"R Bardenet","year":"2020","unstructured":"Bardenet, R., Flamant, J., & Chainais, P. (2020). On the zeros of the spectrogram of white noise. Applied and Computational Harmonic Analysis, 48, 682\u2013705.","journal-title":"Applied and Computational Harmonic Analysis"},{"key":"1798_CR3","doi-asserted-by":"publisher","first-page":"205520761668950","DOI":"10.1177\/2055207616689509","volume":"3","author":"B Ajana","year":"2017","unstructured":"Ajana, B. (2017). Digital health and the biopolitics of the quantified self. Digital Health, 3, 2055207616689509.","journal-title":"Digital Health"},{"key":"1798_CR4","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.gaitpost.2014.03.189","volume":"40","author":"PB Shull","year":"2014","unstructured":"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\u201319.","journal-title":"Gait & Posture"},{"key":"1798_CR5","doi-asserted-by":"crossref","unstructured":"Hoogendoorn, M., & Funk, B. (2018). Machine learning for the quantified self. On the Art of Learning from Sensory Data.","DOI":"10.1007\/978-3-319-66308-1"},{"key":"1798_CR6","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1515\/popets-2016-0042","volume":"2016","author":"D Leibenger","year":"2016","unstructured":"Leibenger, D., M\u00f6llers, F., Petrlic, A., Petrlic, R., & Sorge, C. (2016). Privacy challenges in the quantified self movement-an eu perspective. Proceedings on Privacy Enhancing Technologies, 2016, 315\u2013334.","journal-title":"Proceedings on Privacy Enhancing Technologies"},{"key":"1798_CR7","unstructured":"Olson, P. (2014). Wearable tech is plugging into health insurance. Forbes."},{"key":"1798_CR8","unstructured":"McMahan, H.\u00a0B., Moore, E., Ramage, D., & y\u00a0Arcas, B.\u00a0A. (2016). Federated learning of deep networks using model averaging. arXiv preprint\u00a0arXiv:1602.05629"},{"key":"1798_CR9","doi-asserted-by":"crossref","unstructured":"Boutet, A., Frindel, C., Gambs, S., Jourdan, T., & Ngueveu, R.\u00a0C. (2021). Dysan: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks. In Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security (pp. 672\u2013686).","DOI":"10.1145\/3433210.3453095"},{"key":"1798_CR10","doi-asserted-by":"crossref","unstructured":"Jourdan, T., Boutet, A., & Frindel, C. (2018). Toward privacy in iot mobile devices for activity recognition. In Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (pp. 155\u2013165).","DOI":"10.1145\/3286978.3287009"},{"key":"1798_CR11","doi-asserted-by":"crossref","unstructured":"Debs, N., Jourdan, T., Moukadem, A., Boutet, A., & Frindel, C. (2021). Motion sensor data anonymization by time-frequency filtering. In 2020 28th European Signal Processing Conference (EUSIPCO) (pp. 1707\u20131711). IEEE.","DOI":"10.23919\/Eusipco47968.2020.9287683"},{"key":"1798_CR12","doi-asserted-by":"crossref","unstructured":"Malekzadeh, M., Clegg, R.\u00a0G., Cavallaro, A., & Haddadi, H. (2019). Mobile sensor data anonymization. In Proceedings of the International Conference on Internet of Things Design and Implementation (pp. 49\u201358).","DOI":"10.1145\/3302505.3310068"},{"key":"1798_CR13","doi-asserted-by":"crossref","unstructured":"Vavoulas, G., Chatzaki, C., Malliotakis, T., Pediaditis, M., & Tsiknakis, M. (2016). The mobiact dataset: Recognition of activities of daily living using smartphones. In International Conference on Information and Communication Technologies for Ageing Well and e-Health (pp. 143\u2013151). SciTePress volume\u00a02.","DOI":"10.5220\/0005792401430151"},{"key":"1798_CR14","doi-asserted-by":"crossref","unstructured":"Roug\u00e9, P., Moukadem, A., Dieterlen, A., Boutet, A., & Frindel, C. (2021). Anonymizing motion sensor data through time-frequency domain. In 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP) (pp. 1\u20136). IEEE.","DOI":"10.1109\/MLSP52302.2021.9596442"},{"key":"1798_CR15","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1002\/cpa.3160140303","volume":"14","author":"V Bargmann","year":"1961","unstructured":"Bargmann, V. (1961). On a hilbert space of analytic functions and an associated integral transform part i. Communications on Pure and Applied Mathematics, 14, 187\u2013214.","journal-title":"Communications on Pure and Applied Mathematics"},{"key":"1798_CR16","doi-asserted-by":"crossref","unstructured":"Haralick, R.\u00a0M., Shanmugam, K., & Dinstein, I.\u00a0H. (1973). Textural features for image classification. IEEE Transactions on Systems, Man, and Cybernetics, (pp. 610\u2013621).","DOI":"10.1109\/TSMC.1973.4309314"}],"container-title":["Journal of Signal Processing Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11265-022-01798-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11265-022-01798-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11265-022-01798-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,28]],"date-time":"2023-02-28T19:27:31Z","timestamp":1677612451000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11265-022-01798-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,25]]},"references-count":16,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,1]]}},"alternative-id":["1798"],"URL":"https:\/\/doi.org\/10.1007\/s11265-022-01798-9","relation":{},"ISSN":["1939-8018","1939-8115"],"issn-type":[{"type":"print","value":"1939-8018"},{"type":"electronic","value":"1939-8115"}],"subject":[],"published":{"date-parts":[[2022,7,25]]},"assertion":[{"value":"28 February 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 May 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 July 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 July 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interest"}}]}}