Measuring systems for monitoring the human state: human digital twins based on a kinematic portrait

Abstract

The report is concerned with the analysis of the functional and physical structures of human characteristics for the formation of reference digital models and individual portraits of a human which are his digital twins. A database structure has been developed for describing the human state, based on a variety of models, measured physical quantities, and results obtained from a mobile information and measurement system. The paper outlines an approach to the study and design of mobile information and measurement system designed for the construction of individual kinematic portraits of a human. A variant of a part of the inference system is shown on the example of studying the trend of changes in one of the time characteristics of the movement technique.

Human Digital Twin: A Survey

“…However, it gave the HDT model the capacity to learn and had a high usage value. Alekseyev et al [94] introduced a method to research mobile information and measurement systems for constructing personal dynamic portraits of the human body reflecting human movement in different domains of activity study portraits, and proposed a personalized system for assessing the recovery of the patient's walking skills. This HDT system tracked patients' tendencies based on assessments of temporal characteristics of walking technique, to improve motor skills during rehabilitation.…”