An adversarial auto-encoder trained only on normal walking frames estimates a gait abnormality index that outperforms HMM, SVM, and cross-correlation baselines on a nine-subject dataset.
Generative adversarial nets
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Applying Adversarial Auto-encoder for Estimating Human Walking Gait Abnormality Index
An adversarial auto-encoder trained only on normal walking frames estimates a gait abnormality index that outperforms HMM, SVM, and cross-correlation baselines on a nine-subject dataset.