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Filtering by: Keyword dimensionality reduction Keyword machine learning Keyword prosthetics Resource type Dissertation

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1. Dimensionality Reduction for Prosthetic Hand Control

Description:: In this document, I demonstrate that: 1) Linear basis functions cannot outperform nonlinear ones to represent hand kinematics 2) Nonlinear autoencoders outperform PCA on the dimensionality reduction of hand kinematics, 3) Nonlinear autoencoders outperform PCA in human gait representation and recurrent nonlinear autoencoders can seamlessly express the temporal dynamics, 4)...
Keyword:: kinematics, prosthetics, machine learning, gait, dimensionality reduction, and hand
Subject:: Engineering
Creator:: Portnova-Fahreeva, Alexandra
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 09/22/2022
Date Created:: 2022-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:16176 and etdadmin_upload_920776