Open-Set Patient Activity Recognition With Radar Sensors and Deep Learning

نویسندگان

چکیده

Open-set recognition (OSR) has achieved significant importance in recent years. For a robust system, we need to identify the right class from myriad of knowns and unknowns. In this work, build compare OSR systems for patient activity (PAR) using compact radar sensors hospital setting. Radar are an important part privacy-preserving monitoring system. Specifically, proposed approach is based on deep discriminative representation network (DDRN) trained large margin cosine loss (LMCL) triplet (TL). A probability inclusion model embedding space Weibull distribution able separate This overall limits risk open enables us easily any unknown activities. Our experiments show that significantly better open-set human (HAR) with when compared state-of-the-art approaches.

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ژورنال

عنوان ژورنال: IEEE Geoscience and Remote Sensing Letters

سال: 2023

ISSN: ['1558-0571', '1545-598X']

DOI: https://doi.org/10.1109/lgrs.2023.3235243