This thesis employs a millimeter wave radar system for the analysis of gait patterns in various data subjects using point cloud data. This thesis aims to employ a deep learning model for extracting valuable insights from the point clouds and making inferences regarding the personal attributes of individuals, such as gender or height.
This thesis employs a millimeter wave radar system for the analysis of gait patterns in various data subjects using point cloud data. This thesis aims to employ a deep learning model for extracting valuable insights from the point clouds and making inferences regarding the personal attributes of individuals, such as gender or height.
Inferring personal attributes with a millimeter wave radar
TAMAYO GONZALEZ, CINTHYA CELINA
2022/2023
Abstract
This thesis employs a millimeter wave radar system for the analysis of gait patterns in various data subjects using point cloud data. This thesis aims to employ a deep learning model for extracting valuable insights from the point clouds and making inferences regarding the personal attributes of individuals, such as gender or height.| File | Dimensione | Formato | |
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TamayoGonzalez_CinthyaCelina.pdf
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842.94 kB | Adobe PDF |
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https://hdl.handle.net/20.500.12608/52258