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Encoding Kinematic and Temporal Gait Data in an Appearance-Based Feature for the Automatic Classification of Autism Spectrum Disorder

In appearance-based gait analysis studies, Gait Energy Images (GEI) have been shown to be an effective tool for human identification and gait pathology detection. In addition, model-based studies found kinematic and spatio-temporal features to be useful for gait recognition and Autism Spectrum Disor...

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Principais autores: B. Henderson, Pratheepan Yogarajah, Bryan Gardiner, T. Martin McGinnity
Formato: Artigo
Idioma:Inglês
Publicado: IEEE 2023-01-01
Series:IEEE Access
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Acceso en liña:https://ieeexplore.ieee.org/document/10329921/
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