Patent classifications
A61F2013/421
AUTO DETECTION SYSTEM FOR COOKING ASSISTANCE
There is provided an auto detection system including a thermal detection device and a host. The host controls an indication device to indicate a prompt message or detection results according to a slope variation of voltage values or 2D distribution of temperature values detected by the thermal detection device, wherein the voltage values include the detected voltage of a single pixel or the sum of detected voltages of multiple pixels of a thermal sensor.
METABOLITE DETECTION METHOD AND NURSING ARTICLE
In one aspect, a metabolite detection method is applied to a nursing article. An absorption portion of the nursing article is provided with a humidity sensing module for sensing a humidity value of a first position point set. The first position point set comprises at least one position point located on a metabolite diffusion path of the absorption portion. The metabolite detection method comprises: acquiring a humidity value of a first position point set, and determining growth state information of a position point according to the humidity value, the growth state information being used for representing the growth condition of the humidity of the position point over time; and determining a metabolite type according to the growth state information, the metabolite type comprising a liquid metabolite sand non-liquid metabolite.
Internet of things (IoT) solution for management of urinary incontinence
The present disclosure relates to an intelligent internet of things (IoT) monitoring system, and in particular to techniques (e.g., systems, methods, computer program products storing code or instructions executable by one or more processors) for the implementation of an IoT solution to manage urinary incontinence. Some aspects are directed to the concept of a management platform that allows for end users such as health care providers, caretakers, or medical personnel to manage and monitor one or more subjects through one or more client devices using a network of sensors and IoT devices. Other aspects are directed the concept of a data analysis system configured to train and deploy one or more prediction models for analysis and tracking metrics of health or wellbeing for the one or more subjects.