Sensors, Volume 22, Issue 15
2022 August-1 - 465 articles
Cover Story: In this work, an interpretable, passive, multi-modal, sensor fusion system PRF-PIR is proposed to provide reliable human identification and activity recognition (HIAR). The proposed PRF-PIR system is validated for a potential human monitoring system through the data collection of eleven activities from twelve human subjects in an academic office environment. The results of the system are supported with explainable artificial intelligence (XAI) methodologies to serve as a validation for sensor fusion over the deployment of single sensor solutions, achieving an accuracy of 0.9866 for human identification and 0.9623 for activity recognition. PRF-PIR provides a passive, non-intrusive, and highly accurate system that allows for robustness in uncertain, highly similar, and complex at-home activities performed by a variety of human subjects. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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