Theses and Dissertations

David Saucier

Issuing Body

Mississippi State University

Advisor

Ball, John E.

Committee Member

Burch V, Reuben F.

Committee Member

Bethel, Cindy

Date of Degree

5-1-2020

Document Type

Graduate Thesis - Open Access

Major

Electrical and Computer Engineering

Degree Name

Master of Science

College

James Worth Bagley College of Engineering

Department

Department of Electrical and Computer Engineering

Abstract

The ankle joint complex is a common source of injury for various demographics and is often observed during gait analysis. I investigate using soft robotic sensors as a means for collecting kinematic data at the ankle joint complex. I validate the linearity of these sensors by measuring stretch against extension and against stretch from frontal and sagittal planar foot movements using a wooden ankle mockup. I then conduct a study involving ten participants who perform repetitive trials of four foot movements (plantarflexion, dorsiflexion, inversion and eversion) using ten different locations. Four optimal locations were identified for these movements based on linearity, accuracy, robustness, and consistency. Lastly, I validated soft robotic sensors against the human gait cycle. Twenty participants were recruited and performed twelve trials, walking across a flat surface and a cross-sloped surface while motion capture data and soft robotic sensor data was collected.

URI

https://hdl.handle.net/11668/16678

Sponsorship

Mississippi State University (MSU) Office of Research and Development (ORED) undergraduate research grant/MSU Bagley College of Engineering Working Group grants for the Multi–Sensor Working Group and the Wearables Working Group NSF 18-511—Partnerships for Innovation award number 1827652

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