FURI | Spring 2022

Detecting and Analyzing Physical Movements Using Machine Learning

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The hardware detects the movement of the user and utilizes a neural network to recognize correct movement patterns. Previous research used data imported from infrared scanners in order to build a model. This research project builds a model by tracking the movements of the participants using acceleration and gyroscope sensors. Using machine learning as an alternative to medical visits would be more convenient and more affordable for the patient.

Student researcher

Rachel Hayes

Electrical engineering

Hometown: Springville, Alabama, United States

Graduation date: Spring 2025