The paper presents a novel technique to transform passive surfaces into highly sensitive and localized health sensors using metamaterials. By leveraging the ubiquity of textiles, the researchers engineer metamaterial textiles that mediate near-field interactions between wireless signals and the body, enabling contactless and interference-free sensing. The metamaterial textiles are designed to support spoof surface plasmonic (SSP) modes, which extend from the textile surface without radiating into the surrounding space. This design allows the sensors to be highly sensitive to close-range interactions with body tissues, providing accurate and reliable detection of physiological signals such as respiration, heart rate, and pulse rate. The sensors are thin, conformal, and can be integrated into everyday objects, allowing for continuous and unobtrusive monitoring of multiple vital signs. The system has been validated through experiments with healthy volunteers, demonstrating accuracy comparable to gold standards. Additionally, the technology shows potential for cuffless blood pressure monitoring using machine learning. The versatility of the metamaterial textile sensors is demonstrated in both an unstructured office space and a simulated airplane cabin, highlighting their potential for ambient health sensing and digital health applications.The paper presents a novel technique to transform passive surfaces into highly sensitive and localized health sensors using metamaterials. By leveraging the ubiquity of textiles, the researchers engineer metamaterial textiles that mediate near-field interactions between wireless signals and the body, enabling contactless and interference-free sensing. The metamaterial textiles are designed to support spoof surface plasmonic (SSP) modes, which extend from the textile surface without radiating into the surrounding space. This design allows the sensors to be highly sensitive to close-range interactions with body tissues, providing accurate and reliable detection of physiological signals such as respiration, heart rate, and pulse rate. The sensors are thin, conformal, and can be integrated into everyday objects, allowing for continuous and unobtrusive monitoring of multiple vital signs. The system has been validated through experiments with healthy volunteers, demonstrating accuracy comparable to gold standards. Additionally, the technology shows potential for cuffless blood pressure monitoring using machine learning. The versatility of the metamaterial textile sensors is demonstrated in both an unstructured office space and a simulated airplane cabin, highlighting their potential for ambient health sensing and digital health applications.