3 results about "Vitality index" patented technology

This application provides a non-contact health monitoring device, method, equipment, and medium, belonging to the field of health monitoring technology. It collects Wi-Fi amplitude data and calculates Shannon entropy to form an instantaneous vitality index sequence. The instantaneous vitality index sequence is processed through a sliding time window to determine behavioral feature vectors and activity intensity indices. Normal behavior boundaries are defined using behavioral feature vectors from historical normal periods, and a baseline lower limit for activity intensity is determined based on the activity intensity indices from historical normal periods. If the behavioral feature vector of the current window is outside the normal behavior boundary, or the activity intensity index of the current window is lower than the baseline lower limit, it is determined to be an abnormal window. When both conditions are met simultaneously, it is determined to be a high-risk rhythmic abnormality window. This allows for graded early warning monitoring of the activities of elderly people living alone. Using the scheme of this application, it is possible to effectively identify environmental steady-state channel jitter and transient channel disturbances caused by human behavior.

The present application belongs to the technical field of space boundary demarcation, and discloses a scenic spot vitality boundary demarcation method based on a circle layer potential field expansion algorithm, which specifically comprises the following steps: based on the two dimensions of human interaction and environmental carrying capacity, a spatial vitality index system of the scenic spot is constructed; multi-source heterogeneous data related to the spatial vitality index system in the scenic spot are collected and preprocessed to construct a vitality information database of the scenic spot; the vitality information database is used to quantize and comprehensively evaluate the vitality indexes in each grid unit to generate a spatial vitality grid map reflecting the vitality level of the scenic spot; the vitality values in the spatial vitality grid map are classified, the vitality contour lines are extracted, and multi-level vitality circle layers are divided; the problems of strong subjectivity, insufficient accuracy and poor dynamic adaptability of the existing vitality boundary demarcation method are solved.

This invention relates to a method and system for integrated edge-end urban vitality heat analysis using a video network. The method includes: acquiring video stream data and environmental parameters within a target area; detecting target objects in the video stream data using the YOLOv8s-Mobile architecture; and cleaning the environmental parameters. The video stream data and environmental parameters are then encrypted and transmitted to a cloud center. Deep analysis of the video stream data is performed at the cloud center to extract spatiotemporal features, and motion information of target objects is mined based on these features using deep learning algorithms. The environmental parameters, video stream data, and motion information of target objects are fused to obtain fused multi-source data, and a vitality heat model is used to calculate the vitality index within the target area. A heat distribution based on the vitality index is constructed using a multi-dimensional correlation graph, and this heat distribution is sent to the front-end display layer to showcase the heat distribution of the target area.