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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
User-Modulated Impedance Control Using Two-Site Proportional Myoelectric Signals

Description:

Commercially available electrically powered prosthetic elbows are stiff and unyielding. Making these artificial limb replacements more closely mimic human elbows by increasing their compliance may be beneficial. In addition to having increased compliance compared with current electrically powered prosthetic elbows, humans modulate the overall impedance of their joints. The author...

Keyword:

prosthesis, Series Elastic Actuator, Impedance Control, and prosthetics

Subject:

Biomedical Engineering

Creator:

Jonathon Wilbur Sensinger

Owner:

Scholarly Digital Publishing

Date Uploaded:

05/28/2018

Date Modified:

05/28/2018

Date Created:

2007-04-27

Resource Type:

Dissertation

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