SynergyFit energy recovery framework for human-centric power generation in multi-modal fitness environments
Douglas Yeboah, Bismark Danso Annor

TL;DR
This paper introduces a new model for estimating and optimizing energy recovery from different types of exercise in fitness environments.
Contribution
The SynergyFit Energy Recovery Model is a novel theoretical framework for multi-modal fitness energy recovery.
Findings
Resistance training provides steady energy recovery, while cardio and functional training scale with duration.
Cardio training has the highest energy recovery potential, reaching up to 43.8 kJ per session.
Optimizing exercise duration and parameters can significantly enhance energy recovery in fitness settings.
Abstract
The demand for sustainable energy solutions has driven interest in capturing power from physical activity in fitness settings. This study introduces the SynergyFit Energy Recovery Model, a comprehensive theoretical framework for estimating and optimizing energy recovery across resistance, cardiovascular, and functional training. The model addresses the challenge of effectively harvesting energy in multi-modal exercise environments by identifying distinct recovery patterns: resistance training provides steady yields through consistent force application, while cardiovascular and functional training scale more rapidly with duration due to dynamic movement profiles. Validation against reported energy recovery values confirms the model’s strong predictive robustness and alignment with established trends. For a training session with an average mass (plate and trainer) of 80 kg, the energy…
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Taxonomy
TopicsInnovative Energy Harvesting Technologies · Innovative Human-Technology Interaction · Context-Aware Activity Recognition Systems
