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GenGait: A Transformer-Based Model for Human Gait Anomaly Detection and Normative Twin Generation
Gait analysis provides an objective characterization of locomotor function and is widely used to support diagnosis and rehabilitation monitoring across neurological and orthopedic disorders. Deep learning has been increasingly applied to this domain, yet most approaches rely on supervised classifier
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