Biomedical and human-centered measurement is undergoing a profound transformation driven by the convergence of advanced sensing technologies, intelligent instrumentation, artificial intelligence, robotics, and computational methods. These developments are enabling increasingly comprehensive assessment of physiological quantities, human movement, and human-system interaction through heterogeneous sensing technologies, including photonic and fiber-optic sensors, thermal and hyperspectral imaging, wearable and inertial devices, and contactless motion capture, supported by data driven approaches. This evolution is also strengthening the connections between human factors engineering, biomechanics, and measurement science in the quantitative assessment of human function, performance, and interaction with technology.

The integration of these technologies enables more comprehensive measurements, while introducing challenges related to reliability, comparability, metrological traceability, and reproducibility. The Special Session will focus on the metrology of multimodal and intelligent measurement systems, addressing measurand definition, calibration, sensor characterization, measurement uncertainty, metrological traceability, synchronization, sensor fusion, reference methods, validation, benchmarking, interoperability, and standardization.

Biomedical applications and the assessment of human function and performance will provide a challenging context for discussing these issues, encompassing physiological monitoring, minimally invasive medical procedures, biomechanical assessment, rehabilitation, ergonomics, and human-robot interaction. Particular attention will be given to the validation of measurement methods and systems across different individuals, tasks, and operating conditions.
The session will provide an interdisciplinary forum for advances in the measurement, characterization, modeling, and validation of human-centered systems across laboratory, clinical, industrial, occupational, sports, and other real-world settings. By bringing together expertise in metrology, biomedical engineering, human factors engineering, biomechanics, robotics, and artificial intelligence, it aims to advance rigorous metrological frameworks for the next generation of multimodal, intelligent, and human-centered measurement systems.

List of Topics
• Multimodal measurement systems
• Biomedical sensor calibration and characterization
• Measurement uncertainty and propagation
• Metrological traceability and reference methods
• Validation, benchmarking, and reproducibility
• Sensor fusion and synchronization
• Photonic and fiber-optic sensing
• Optical, hyperspectral, and thermal imaging
• Wearable, inertial, and smartphone-based sensing
• Contactless and markerless motion capture
• Physiological monitoring and biomedical measurements
• Measurement in minimally invasive medical procedures
• AI-assisted measurement and uncertainty evaluation
• Musculoskeletal modeling and digital human twins
• Clinical biomechanics and gait analysis
• Sports biomechanics and performance measurement
• Human factors and ergonomic assessment
• Human-robot and human-computer interaction measurements
• Rehabilitation engineering and digital healthcare
• In-situ and real-world measurement validation
• Measurement interoperability and standardization