| Document Date: 2013-07-14 03:34:21
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City Eindhoven / / Company Pearson / / Country Japan / Netherlands / / Currency USD / / / Facility Eindhoven University of Technology / / IndustryTerm Activity-specific algorithms / Wireless Health / energy expenditure data / physical activity energy expenditure estimation / genetic algorithm / adaptive heuristic search algorithms / widespread tools / activity recognition algorithm / wearable technology / activity classification algorithm / indirect calorimeter device / few activity-specific algorithms / energy / / MedicalCondition obesity / / Organization MIT / Holst Centre / U.S. Securities and Exchange Commission / Eindhoven University of Technology / Ethics Committee / / Person Signal Power (Pow) / / Position representative / activity-specific model for EE estimation / / ProvinceOrState Pennsylvania / / Technology solution using Genetic Algorithms / proposed algorithm / activity recognition algorithm / activity classification algorithm / clustering algorithms / adaptive heuristic search algorithms / sports medicine / Activity-specific algorithms / genetic algorithm / wearable technology / machine learning / few activity-specific algorithms / /
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Body Weight-Normalized Energy Expenditure Estimation Using Combined Activity and Allometric Scaling Clustering