Browsing School of Sport and Recreation by Author "McDaid, A"

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Moving the Lab Into the Mountains: A Pilot Study of Human Activity Recognition in Unstructured Environments

Russell, B; McDaid, A; Toscano, W; Hume, P (MDPI AG, 2021)

Goal: To develop and validate a field-based data collection and assessment method for human activity recognition in the mountains with variations in terrain and fatigue using a single accelerometer and a deep learning ...
Predicting Fatigue in Long Duration Mountain Events With a Single Sensor and Deep Learning Model

Russell, B; McDaid, A; Toscano, W; Hume, P (2021)

Aim: To determine whether an AI model and single sensor measuring acceleration and ECG could model cognitive and physical fatigue for a self‐paced trail run. Methods: A field‐based protocol of continuous fatigue repeated ...