Key result
The proposed classifier with dimension reduction for the Verity wearable sensor platform outperformed conventional classifiers in one-pass training and distinguishing capability for behavior identification.
Population
Elderly and those requiring passive care
Comparison
Verity ambient assisted living platform vs Conventional classifiers
Design
Other
Authors
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May support wearable monitoring development for elderly care; leaves open prospective clinical validation before adoption.
The Verity platform, utilizing a novel classifier with dimension reduction, provides a robust and unobtrusive method for real-time monitoring and behavior identification in the elderly.
Winkley et al. (2012) studied Elderly and those requiring passive care. Verity ambient assisted living platform (wrist-wearable wireless sensor node and mobile platform) vs. Conventional classifiers was evaluated on Robust behaviour identification. The proposed classifier with dimension reduction for the Verity wearable sensor platform outperformed conventional classifiers in one-pass training and distinguishing capability for behavior identification.
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