Wearable and non-invasive technologies are reshaping healthcare, occupational safety, and environmental monitoring. By enabling continuous acquisition of physiological, biomechanical, chemical, and environmental parameters, these systems support applications ranging from heart rate, respiration, oxygen saturation, temperature, and motion monitoring to personal exposure assessment, air-quality sensing, and the evaluation of plant elongation, sap flow, and hydration status.

Their integration with connected platforms is fostering new paradigms in telemedicine, remote patient monitoring, occupational health, precision agriculture, and the use of biological systems as indicators of environmental change. In healthcare applications, these technologies may reduce measurement-induced harm and facilitate the development of more innocuous, unobtrusive and, where feasible, contactless measurement approaches.

From a measurement science perspective, their adoption raises challenges related to accuracy, metrological traceability, uncertainty quantification, stability, safety and performance assessment, measurement procedures, and comparability between laboratory and real-world measurements. Motion artifacts, variability at the sensor-skin or sensor-plant interface, environmental interference, cross-sensitivity, and the lack of standardized validation procedures can affect data reliability. The large and heterogeneous datasets generated by these devices and measuring systems also require robust methods for signal and image processing, data fusion, feature extraction, and intelligent analysis. Particular attention is devoted to artificial intelligence approaches that improve interpretation and decision support while preserving robustness, transparency, and explainability.

This Special Session will bring together researchers working on advanced sensors, wearable and non-invasive instrumentation, including contactless and remote measurement approaches, calibration and validation, signal and image processing, and intelligent data analysis for health and environmental applications. It will promote interdisciplinary exchange across biomedical engineering, measurement science, digital health, agricultural technologies, and environmental monitoring, bridging the gap between innovative prototypes and reliable, deployable systems.

Wearable sensors; Non-invasive measurement; Contactless sensing; Innocuous measurement; Physiological monitoring; Biosignal analysis; Metrological characterization; signal and image processing; Artifact reduction; Multimodal sensing; Plant monitoring; Artificial intelligence; Machine learning; Digital health; Remote monitoring