Haneul Jeon

A New Data Augmentation Method for Time Series Wearable Sensor Data Using a Learning Mode Switching-Based DCGAN

This letter describes a new image augmentation method based on a DCGAN considering mode switching in terms of transient learning accuracy threshold on the problem of human gesture recognition through imaging of wearable sensor time-series data and a deep CNN structure. Because the discriminator in G