Applying adversarial auto-encoder for estimating human walking gait abnormality index

• Published in: Pattern analysis and applications : PAA Vol. 22; no. 4; pp. 1597 - 1608
• Main Authors: Nguyen, Trong-Nguyen, Meunier, Jean
• Format: Journal Article
• Language: English
• Published: London Springer London 01.11.2019; Springer Nature B.V
• Subjects: Coders; Computer Science; Cylinders; Gait; Histograms; Industrial and Commercial Application; Pattern Recognition; Three dimensional models; Walking; Kinect; Adversarial; Point cloud; Gait; Auto-encoder; Depth camera; Mirror; Posture

This paper proposes an approach that estimates a human walking gait abnormality index using an adversarial auto-encoder (AAE), i.e., a combination of auto-encoder and generative adversarial network (GAN). Since most GAN-based models have been employed as data generators, our work introduces another...