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Device-free human activity recognition plays a pivotal role in wirelesssensing. However, current systems often fail to accommodate signal transmissionthrough walls or necessitate dedicated noise removal algorithms. To overcomethese limitations, we introduce TRTAR: a device-free passive human activityrecognition system integrated with a transmissive reconfigurable intelligentsurface (RIS). TRTAR eliminates the necessity for dedicated devices or noiseremoval algorithms, while specifically addressing signal propagation throughwalls. Unlike existing approaches, TRTAR solely employs a transmissive RIS atthe transmitter or receiver without modifying the inherent hardware structure.Experimental results demonstrate that TRTAR attains an average accuracy of98.13% when signals traverse concrete walls.

TRTAR: Transmissive RIS-assisted Through-the-wall Human Activity Recognition