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Human Motion Enhancement via Tobit Kalman Filter-Assisted Autoencoder

We present a novel approach to enhance the quality of human motion data collected by low-cost depth sensors, namely D-Mocap, which suffers from low accuracy and poor stability due to occlusion, interference, and algorithmic limitations. Our approach takes advantage of a large set of high-quality and...

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Detalles Bibliográficos
Autores principales: LANNAN, NATE, ZHOU, LE, FAN, GUOLIANG
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455937/
https://www.ncbi.nlm.nih.gov/pubmed/36090467
http://dx.doi.org/10.1109/access.2022.3157605

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