Mobile App to Streamline the Development of Wearable Sensor-Based Exercise Biofeedback Systems: System Development and Evaluation.

Martin Aidan O'Reilly Joe Duffin Tomas E Ward Brian Michael Caulfield

Published in: JMIR rehabilitation and assistive technologies (2017)

A tablet app was developed that automates the process required to create a personalized exercise technique classification system. This tool can be applied to any cyclical, repetitive exercise. The personalized classification model displayed excellent system accuracy even when assessing acute deviations in compound exercises with a single IMU.

Keyphrases

high intensity
resistance training
physical activity
machine learning
liver failure
deep learning
body composition
intensive care unit
heart rate
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aortic dissection
acute respiratory distress syndrome