Human digital twin with applications

Abstract

The concept formation of Human Digital Twin (HDT), including basic considerations, construct of HDT, and the features of HDT is presented in this paper. The steps and methods for HDT construction are described, which include template human model creation, human model unification, individualization, data links with data driven models, and integration. Two projects where HDT are used for practical problems are introduced. This basic the Twin (HDT) developed at The developed by Innovision is based on individualized human models combined with personal data containers linked to sensors. The data can be processed using analytics to provide an integrated, dynamic representation of one’s personal physical and physiological states. Combined with physics solvers, a HDT can be used to perform physics-based analysis, simulation, and prediction of physical and physiological performance of an individual (Cheng et 2020).