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A Systematic Review on Human Modeling: Digging into Human Digital Twin Implementations

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arxiv 2302.03593 v1 pith:EUA76PYM submitted 2023-02-04 cs.OH

classification cs.OH
keywords humandigitalreviewapplicationprocessesreplicastwinaccurate
verification ladder T0 review T1 audit T2 compute T3 formal

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Human Digital Twins (HDTs) are digital replicas of humans that either mirror a complete human body, some parts of it as can be organs, flows, cells, or even human behaviors. An HDT is a human specific replica application inferred from the digital twin (DT) manufacturing concept, defined as a technique that creates digital replicas of physical systems or processes aimed at optimizing their performance and supporting more accurate decision-making processes. The main goal of this paper is to provide readers with a comprehensive overview of current efforts in the HDT field, by browsing its basic concepts, differences with DTs, existing developments, and the distinct areas of application. The review methodology includes an exhaustive review of scientific literature, patents, and industrial initiatives, as well as a discussion about ongoing and foreseen HDT research activity, emphasizing its potential benefits and limitations.

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    PromptSan reduces NSFW image generation by sanitizing input prompts through classifier-guided token edits or a learned safety suffix, with quantitative validation limited to nudity on the I2P benchmark.

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