Energy balance
A wearable shoe-based sensor combining heel acceleration and plantar pressure can accurately classify six common postures and activities (sitting, standing, walking/jogging, ascending/descending stairs, cycling) with >95% accuracy using a group model, enabling precise energy expenditure estimation for obesity management.
To better manage your weight, you need to know exactly how much energy you burn. This research shows that a smart shoe sensor can accurately track your daily activities—like walking, standing, and cycling—with high precision. By using this technology, you can get a clear picture of your energy expenditure, which is crucial for making informed lifestyle changes to prevent or treat obesity.
A fourfold validation of a six-class subject-independent group model showed 95.2% average accuracy of posture/activity classification on full sensor set and over 98% on optimized sensor set.
Why this rating
Controlled laboratory study with 9 subjects, high accuracy, but small sample size and lack of free-living validation.
Source
Monitoring of Posture Allocations and Activities by a Shoe-Based Wearable Sensor
Edward S Sazonov et al. · IEEE Transactions on Biomedical Engineering · 2010
DOI 10.1109/tbme.2010.2046738
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