May 15, 2024, 4:11 a.m. | Lucas Lange, Nils Wenzlitschke, Erhard Rahm

cs.CR updates on

arXiv:2401.13327v2 Announce Type: replace-cross
Abstract: Smartwatch health sensor data are increasingly utilized in smart health applications and patient monitoring, including stress detection. However, such medical data often comprise sensitive personal information and are resource-intensive to acquire for research purposes. In response to this challenge, we introduce the privacy-aware synthetization of multi-sensor smartwatch health readings related to moments of stress, employing Generative Adversarial Networks (GANs) and Differential Privacy (DP) safeguards. Our method not only protects patient information but also enhances data …

applications arxiv aware challenge cs.lg data detection health information medical medical data monitoring personal personal information privacy research resource response sensitive sensor sensor data smart smartwatch stress synthetic wearable

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