A conditional gan for generating time series data for stress detection in wearable physiological sensor data

HIGHLIGHTS

• who: Maximilian Ehrhart and colleagues from the Department of Geoinformatics, University of Salzburg, Salzburg, Austria have published the research: A Conditional GAN for Generating Time Series Data for Stress Detection in Wearable Physiological Sensor Data, in the Journal: Sensors 2022, 22, 5969. of /2022/
• what: To tackle the problems mentioned above the authors propose Long Short-Term Memory (LSTM) network combined with Fully Convolutional Network (FCN) cGAN architecture with an additional diversity term to generate synthetic physiological data which are used to augment the training dataset to improve the performance of binary classifier for stress . . .
  

   

  

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