Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection. (arXiv:2401.13327v1 [cs.LG])

Smartwatch health sensor data is increasingly utilized in smart health
applications and patient monitoring, including stress detection. However, such
medical data often comprises sensitive personal information and is
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. Our method involves
the generation of synthetic sequence data through Generative Adversarial
Networks (GANs), coupled with the implementation of Differential Privacy (DP)
safeguards for protecting patient …

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