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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
Investigation of Muscle Synergies as a Control Paradigm for Myoelectric Devices

Description:

A need exists to increase the functionality of myoelectric prostheses without increasing the mental requirement of operation. Implantable myoelectric sensors have made it possible to record multiple muscle activities with high fidelity. Given this high dimensionality of inputs, what is the best way of implementing control? Muscle synergies have been...

Keyword:

muscle synergy, prosthesis, EMG, myoelectric control, dimensionality reduction, and hand

Subject:

Biomedical Engineering

Creator:

Abidemi Bolu Ajiboye

Owner:

Scholarly Digital Publishing

Date Uploaded:

08/27/2018

Date Modified:

08/27/2018

Date Created:

2007-12-04

Resource Type:

Dissertation

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Dimensionality Reduction for Prosthetic Hand Control

Investigation of Muscle Synergies as a Control Paradigm for Myoelectric Devices

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