BioMojo Digital Representation of People

Current available software is highly specialized toward providing human analysis for narrow tasks and situations. It does not typically model the whole human system. The result of this software specialization is a plethora of part-task analysis software that operates mostly independently. Each software by itself is unable to inform the larger picture and holistically model the human system.   BioMojo, LLC proposes to create a Digital Representation of People (DROP) as a language-independent open standard for integrating human simulation data across domains (e.g., anthropomorphic, physiological, cognitive). DROP will be a multicomponent, interoperable, extensible and scalable digital human modeling framework that incorporates data across multiple modeling domains from current and future open source and commercial human modeling software.    Our DROP platform offers benefits and advantages over existing approaches to integrating or aggregating models. First it is significant that we will define a platform-agnostic, flexible programming interface that accounts for syntactic, semantic, and conceptual levels. This perspective promises to enable researchers to incorporate their favored models into the systems they build. Second we will demonstrate the flexibility through a proof of concept that incorporates elements of a responsive virtual human that we have long studied that augment more ergonomically related components. Third we will build upon the lessons learned from our MSTA project, which to date has yielded a reference implementation, linking together disparate simulators and training tools to include both currently deployed and next-generation technologies. A technical demonstration on December 19th, 2019 at Uniformed Services University of the Health Sciences showed that design meets the current medical simulation needs and is flexible to adapt to changing technology both in the underlying transport layers and in the higher-level application layers.