CVPM 2020

We invite high-quality and original research works addressing one or more of the following topics:

• Novel/improved methods/algorithms for extracting physiological signals/variables from videos, including pulse rate, pulse rate variability, respiration rate, blood oxygen, pulse transit time, blood pressure, atrial fibrillation, arterial stiffness, skin hydration and core body temperature.
• Novel/improved methods/algorithms for camera-based physiological monitoring systems, such as CNN-based face/skin detection, motion tracking, video segmentation, quality metric learning, physiological pattern recognition and algorithmic optimization.
• Novel/improved apparatuses/imaging devices for sensing physiological signals from the human face and body, including multi-spectral, hyper-spectral, time sequential, time-of-flight, stereo vision, long-distance, portable, and low-cost cameras that are sensitive at visible, near-/far- infrared, or thermal wavelengths.
• Applications for video health monitoring in domains such as Intensive Care Units (ICU), Neonatal Intensive Care Units (NICU), general medical wards, triage in emergency department, elderly care at home. Applications such as sleep monitoring, bed exit detection, fall detection, fitness cardio-training and driver state monitoring.
• Camera-based physiological measurement for detecting affective, emotional, or cognitive states.
• Camera-based physiological measurement to assist video surveillance in-the-wild.
• Camera-based physiological measurement to assist human computer interaction, entertainment, gaming, and marketing.
• Face anti-spoofing and biometric recognition.
• Camera-based context monitoring and scene understanding for clinical/home-based healthcare applications.
• Camera-based activity monitoring and behavior analysis for clinical/home-based healthcare applications.
• Camera-based facial expression analysis for pain/discomfort/delirium detection in health monitoring applications.
• Camera-based clinical workflow monitoring and optimization.
• New public benchmarks and datasets for camera-based vital signs monitoring or activity monitoring.
• Multi-modal sensor fusion of camera and other wireless sensors (e.g. RF sensors, Wi-Fi) for health monitoring.
• Using AI to interpret physiological measurement in care units.
• AI-assisted healthcare applications.