11 results about "Anthropometric data" patented technology

An interpupillary distance estimation method is implementable by an electronic computer and includes the operations of acquiring at least one 2D image of a user's face, locating on the 2D image two reference points corresponding to the pupils of the user, and measuring the distance in pixels between the two reference points. The method further includes measuring the diameter in pixels of the user's iris, and calculating the pixel-to-millimetre conversion ratio between a predetermined iris diameter expressed in metric units and the iris diameter measured in pixels. The predetermined pupil diameter is set equal to the value of the iris diameter most widespread in the world population according to data contained in an anthropometric database. A first estimation of the interpupillary distance is determined by multiplying the distance in pixels between the two reference points corresponding to the user's pupils by the pixel-to-millimetre ratio calculated previously.

A method for the automatic adjustment of a cockpit inside a road vehicle comprising the steps of determining anthropometric data of a driver; processing an ergonomic position of a model of the driver sitting on board the road vehicle; processing an optimal configuration of the cockpit; operating a plurality of actuator systems so as to cause the cockpit to reach the optimal configuration; wherein the ergonomic position of the model is processed in association with a minimum ground visibility; a minimum visibility of a control panel; and at least one first comfort angle of a body joint of the driver.

A user interface for a surgical robotic system includes a plurality of handles, each removably attachable to a user interface assembly by a quick release connector. The selection of handles can include handles of varying size, degree of complexity, handles adapted for laparoscopic motion, handles adapted for true cartesian motion or handles customized to surgeon anthropometric data, etc.

A method of manufacturing a patient interface for sealed delivery of a flow of air at a continuously positive pressure with respect to ambient air pressure to an entrance to the patient's airways includes collecting anthropometric data of a patient's face. Anticipated considerations are identified from the collected anthropometric data during use of the patient interface. The collected anthropometric data is processed to provide a transformed data set based on the anticipated considerations, the transformed data set corresponding to at least one customised patient interface component. At least one patient interface component is modelled based on the transformed data set.

The invention discloses an acupoint positioning method, device and equipment. The method comprises the steps of obtaining acupoint information of a plurality of to-be-positioned acupoints of a target human body and human body measurement data of the target human body; based on a preset acupoint positioning model, obtaining first calculation position information of a plurality of to-be-positioned acupoints of the target human body according to the human body measurement data; the first calculation position information is projected on the target human body by the preset mixed reality equipment; acquiring actual position information of a first gradient acupoint in the plurality of to-be-positioned acupoints; the actual position information of the first gradient acupoints refers to position information of qi obtaining reaction generated when the corresponding first gradient acupoints are stimulated; and adjusting the positions of a second gradient acupoint and a third gradient acupoint in the plurality of to-be-positioned acupoints according to the actual position information of the first gradient acupoint to obtain second calculation position information. According to the method provided by the invention, accurate positioning of the acupoints can be realized based on objective and quantitative standards and judgment.

The invention relates to the technical field of human body data checking, and discloses a method for checking human body measurement data of maintenance personnel, which comprises the following steps of: measuring and collecting data influencing the human body of the maintenance personnel during maintenance operation; performing historical experience screening, average value screening and multi-index association screening on the data; carrying out data statistics on the screened data, wherein the data statistics comprises calculation of a minimum value min, a maximum value max, a mean value mu, a standard deviation sigma and a plurality of percentile numbers; performing two-stage data checking on the statistical data; and inputting and storing the data passing the two checks so as to be conveniently applied to subsequent related fields. According to the method, the problem that a traditional checking method is insufficient in reliability is solved, high-quality data support is provided for maintenance scene human factor engineering analysis, meanwhile, hidden dangers such as maintenance scheme errors and personnel health risks caused by data problems are reduced, and the method has remarkable engineering practical value and popularization significance.

This invention discloses a risk prediction device and storage medium for metabolic-associated fatty liver disease in children or adolescents. The two-stage cascaded screening strategy and model of this invention provide a highly accurate, accessible, and scalable solution for the early identification of metabolic-associated fatty liver disease in children or adolescents. This invention utilizes different anthropometric data to identify high-risk groups in routine school physical examinations, followed by further screening using a comprehensive serological index at community health centers, thereby achieving accurate diagnosis of metabolic-associated fatty liver disease and providing clinicians with a non-invasive auxiliary diagnostic tool that combines high precision, high accuracy, and broad accessibility.

A method of manufacturing a patient interface for sealed delivery of a flow of air at a continuously positive pressure with respect to ambient air pressure to an entrance to the patient's airways includes collecting anthropometric data of a patient's face. Anticipated considerations are identified from the collected anthropometric data during use of the patient interface. The collected anthropometric data is processed to provide a transformed data set based on the anticipated considerations, the transformed data set corresponding to at least one customised patient interface component. At least one patient interface component is modelled based on the transformed data set.

Apparatuses, systems, and methods for providing personalized online product try-on are disclosed herein. In various embodiments, a personalized shopping system includes: an automatic shopping assistant that accesses product data; a matching system accesses historical data, preference data, and / or anatomical data measured using an automated shopping assistant device, where the personalized shopping system may generate personalized matches based on the historical data, preference data, and / or anatomical data. The automated shopping assistant device may include a depth sensor and / or an image scanner capable of capturing various 2D and / or 3D models. These models may be used to generate anatomical data. The anatomical data may be used to virtually attempt various items. Products may be personalized based on the historical data, preference data, and / or anatomical data.

A method of manufacturing a patient interface for sealingly delivering a flow of air to an entrance of a patient's airways at a continuous positive pressure relative to ambient air pressure includes collecting anthropometric data of a patient's face. An anticipated consideration is identified from the anthropometric data collected during use of the patient interface. The collected anthropometric data is processed to provide a transformation data set based on the anticipated consideration, the transformation data set corresponding to at least one custom patient interface component. At least one patient interface component is modeled based on the transformation data set.

The invention relates to the technical field of medical data processing, and discloses a diabetic nephropathy risk assessment method and model. The method includes collecting time sequence medical data of a diabetic patient, including blood detection values, anthropometric data, and diagnosis and treatment records. For each point in time, feature elements are extracted and a temporary risk estimate is calculated. And connecting a historical medical database, matching similar patient categories, and correcting the temporary estimation value by using the risk history to obtain a unified risk estimation value. And calculating a difference value between the temporary estimation value and the unified estimation value as an accuracy index. And predicting the future nephropathy risk grade of the patient in combination with the accuracy index and the characteristic time sequence change. According to the method, individual assessment is calibrated through group historical data, the built-in accuracy index is generated, and the accuracy of risk assessment and the reliability of clinical decision making are improved.