IT in general

This standard specifies terms, methods, and considerations related to the processing of scan data using software after acquiring human body scan data using a 3-D human body scanner. NOTE Knowledge and experience in the processing and analysis of 3-D point-cloud and mesh are required to improve the quality of human body scan data while maintaining its morphological characteristics for its application to the design of a particular product, workplace, and/or system. Custom software can be developed to support the processing of human body scan data by incorporating terms, methods, and considerations in this standard in a selective manner.

This document is the first of a family of standards. This document focuses on the method of quantifying the differences in body dimensions and visualizing shape differences between the human body and a virtual human body model. This document provides a performance evaluation protocol for virtual human body representation systems, which create virtual human body (including virtual fit mannequin) models based on 3D body scan data and/or body dimensions data of a human body. The required accuracy of a virtual human body depends on the purpose and use of the digital fitting system.

ISO 18825-2:2016 defines the terms used to describe the virtual human body which is used in virtual garment systems. Specifically, virtual body landmarks and virtual body dimensions are described. It mainly deals with vocabulary and terminology of essential virtual body dimensions of the virtual torso, arm, leg, head, face, hands and bones and joints of virtual human body. Since there are many body landmarks on the head and hand, landmarks on these parts are defined separately from those on other parts of the body. It is intended for developers of virtual garment systems. Although ISO 18825-2:2016 does not aim at users of virtual human body in online communication, the improved reliability of virtual human body will benefit them.

This document is the first of a family of standards. ISO 18825-1:2016 covers vocabulary and terminology used for the virtual human body in the virtual garment system used as a main tool in various fields of clothing application. It is applicable to all stages of online clothing communication and business, including design, manufacture, order, sales, distribution and customer management.

ISO 18133:2016 defines the terms that are commonly used for the digital fitting system. The digital fitting system includes virtual fabric, virtual fabric properties, virtual garment pattern, virtual garment pattern properties, virtual sewing line, virtual garment, and virtual garment simulation of a virtual garment on a virtual human body model for fit assessment.

This standard addresses the anthropometric and topo-physiological attributes that contribute to the quality of experience of 3D body processing, as well as identifying and analyzing metrics and other useful information, as well as data relating to these attributes. The standard defines a harmonized framework, suite of objective and subjective methods, tools, and workflows for assessing 3D body processing quality of experience attributes. The standard specifies and defines methods, metrics, and mechanisms to facilitate interoperability, communication, security and trusted operation of 3D body processing technologies. This includes quality of output of devices (such as sensors and/or scanners), digitization, simulation and modeling, analytics and animation, data transmission and visualization in the 3D body processing ecosystem, the ecosystem being in the near environment that interacts with the body.

This document describes guidelines for developing education and training systems using VR/AR/MR technology. It defines VR/AR/MR based information modelling that can be used for education and training systems. It provides procedures and methods to be used when developing 3D VR/AR/MR based education and training systems using ISO/IEC JTC 1 standards. It also provides a systematic approach to developing VR/AR/MR based applications for systems integration areas. This work will:

- define concepts of VR/AR/MR based education and training.

- define an information modelling architecture for VR/AR/MR based education and training systems.

- specify standards based functional components for VR/AR/MR based education and training systems.

- specify framework components for implementing VR/AR/MR based education and training systems.

- include use cases for VR/AR/MR based education and training systems based on the information modelling architecture.

Device hardware technology for VR/AR/MR based education and training systems is excluded from this draft.

This document specifies a systematic system for representing humanoids in a network-enabled 3D graphics and multimedia environment. Conceptually, each humanoid is an articulated character that can be embedded in different representation systems and animated using the facilities provided by the representation system. This document specifies the abstract form and structure of humanoids. Further, this document specifies the semantics of humanoid animation as an abstract functional behaviour of time-based, interactive 3D, multimedia articulated characters. This document does not define physical shapes for such characters but does specify how such characters can be structured for animation. This document is intended for a wide variety of presentation systems and applications, providing wide latitude in interpretation and implementation of the functionality.

This document specifies the method of motion capture animation using H-Anim humanoid models. Each humanoid model consists of an articulated character with specified joints and motion capture data. As specified in ISO/IEC 19774-1, each character consists of joints and segments in a hierarchical structure. This document includes the following:

(1) Concepts of motion capture as related to humanoid animation,

(2) Concepts of motion capture data definition,

(3) Definition of motion parameters and motion-capture animation data for transferring or exchanging motion between different humanoid character models,

(4) Mapping the structure of motion capture data to the structure of H-Anim objects,

(5) HAnim motion capture animation using interpolators,

(6) HAnim motion definition using H-Anim Motion objects, and

(7) A method for generating and specifying an H-Anim motion capture animation.

This document specifies a standard technique for exchanging humanoid animation using motion capture. It does not mandate using any specific run-time system to render the H-Anim characters or animations.

This draft Recommendation describes the general access interface framework, including interface module description, application scenarios etc. It defines unified access interface requirements of digital human services for the developers to integrate the capabilities of digital human into different applications.

Under the stimulation of the concept of the metaverse, digital human is accelerating from technological innovation to industrial application. However, in the actual project implementation, most enterprises do not have the ability to directly develop and maintain digital human, so they often encounter the problems of high technical threshold, complex installation and deployment, and high management and maintenance cost. Therefore, there is a strong demand for reducing the cost of using digital human and simplifying the construction and operation and maintenance of digital human. By providing the service of creating, managing and maintaining enterprise-level digital human applications, digital human platform can help users reduce the development and use costs, and become an important way of digital human development, deployment, operation and maintenance. However, there are many kinds of digital human platforms on the market, and their quality is uneven. From service support to code implementation, there are huge differences. Therefore, the functionality, compatibility, reliability, scalability, time response, and ease of use of the platform need to be strictly tested and verified before large-scale deployment to the production environment. In addition, at present, the standard of requirement and test method of digital human platform is still blank. The purpose of this Recommendation is to provide technical guidance and technical specification support for the research and development, selection and testing of digital human platform, to achieve a fair, just, scientific and objective evaluation of digital human platform, and to promote the progress of digital human technology products. This Recommendation provides the requirements and evaluation methods for the digital human platform from the aspects of function, compatibility, reliability, scalability, time response, and ease of use.

This recommendation describes the concept, use cases and requirements of communication services for digital human. The scope of this recommendation includes:

(a) Use cases of the communication services for digital human,

(b) Requirements on the user interface for those who are creating digital humans, and

(c) Requirements on the digital human creation and utilization procedures.