Physiological function assessment based on RGB-D camera

With the growing of age, the decline of physiology would result in complications such as hypertension, cardiopathy and some other diseases if necessary measures are not followed. These risks can be greatly reduced if the aged people have access to physiological assessment. In this work, we propose a framework based on fog computing for convenient and efficient physiological function assessment, which is closely related to the detection of the activities or motions of human bodies. We use the RGB-D cameras in Kinect to measure and detect the joint mobilities as well as the gait anomalies. We improve the traditional method of Dynamic Time Warping (DTW) so that it can align two action sequences more efficiently and effectively. Experimental results have achieved high accuracy which indicates that our framework of using Kinect to track body motions and gaits, and the proposed detection method can be applied to practical physiological function assessment.