We describe a new approach for locating the causes of anomalies in distributed systems.
Our target environment is a distributed application that contains multiple identical processes …

Low-cost depth sensors, such as Microsoft Kinect, have potential for noncontact health
monitoring that is robust to ambient lighting conditions. However, captured depth images …

Background: Heart rate variability (HRV) provides essential mental health information for
clinical diagnosis, telemedicine, preventive medicine, and public health; however, the lack of …

This paper presents algorithms to improve the estimation of heart rate (HR) and heart rate
variability (HRV) from smartphone video. The remote photoplethysmogram (rPPG) signals …

Smartphones are increasingly powerful computers that fit in our pocket. Thanks to dedicated
applications or Apps, they can connect with external sensors to record, analyze, display …

Background In the last few years, some studies have measured heart rate (HR) or heart rate
variability (HRV) parameters using a video camera. This technique focuses on the …

We introduce a novel approach for robust estimation of physiological parameters such as
interbeat interval (IBI) and heart rate variability (HRV) from cardiac signals captured with …

Remote Photoplethysmography (rPPG) is a contactless method that enables the detection of
various physiological signals from facial videos. rPPG utilizes a digital camera to detect …

Heart rate variability (HRV) provides essential health information such as the risks of heart
attacks and mental disorders. However, inconvenience related to the accurate detection of …

This paper describes a method of estimating the pose of a human in bed only from a single
depth image. Such estimation is useful for robotic monitoring of the elderly and the disabled …