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Dynamic GYM activities energy expenditure: Prediction using LSTM and regression models

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Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, Ahead of Print.
This paper proposes a real-time framework to estimate the energy expenditure (EE) in gym exercises by combining the information provided by IoT wearables and machine learning (ML). The classical techniques, like indirect calorimetry are both expensive and ...