Search
CSV
RISKinematic Data Augmentation Using a Spatiotemporal Dual-Discriminator Generative Adversarial Network for Joint Angle Prediction of Infant Crawling
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Accurately generating joint motion trajectories for infant crawling is crucial for developing effective control strategies for exoskeletons. However, the limited availability of infant crawling data, owing to the ...