Spatiotemporal cleaning of pir sensor data for elderly movement monitoring

HIGHLIGHTS

• What: To overcome these challenges the authors propose a novel spatiotemporal data cleaning framework that integrates nondeterministic tracking (NDT) and late-binding adjustment (LBA). In contrast, the study demonstrates originality by employing a device-free system that does not require wearable devices, utilizing NDT (non-deterministic tracking) and LBA (late-binding adjustment) for accurate monitoring. The aim of this study is not to monitor overall detection area. This analysis demonstrates the LBIS framework`s potential as a robust tool for real-world elderly monitoring systems, supporting its integration into broader healthcare and smart home solutions.
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