NON-INTRUSIVE HUMAN BODY THERMAL COMFORT DETECTION METHOD AND SYSTEM BASED ON POSTURE ESTIMATION

摘要

From the perspective of posture estimation, a new non-intrusive human body thermal comfort detection method is disclosed and provided. First, 12 human body thermal comfort postures are obtained through definition and verification by means of a questionnaire survey method; and then, results of posture estimation and human body thermal comfort detection are output by means of computer video collection, image preprocessing, depth image processing, training testing and delivery and application, wherein the depth image processing comprises locking a face region and a point region based on bone nodes and setting an action recognition determination condition and threshold corresponding to different posture estimations, and the posture estimations are obtained by comparing changes in the coordinates of the bone nodes in previous and next frames. When the detection method in the present invention is applied to an intelligent building or a vehicle, an effective feedback signal can be provided for a heating, ventilation and air-conditioning system in real time, such that people in a scenario feel more comfortable, and energy is reliably economized.