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1. Technical Specification 2. Conformance Testing 3. Performance Assessment

1. Technical Specifications

This page gives the links to the specification of Data Types of Technical Specification: Portable Avatar Format (MPAI-PAF) V1.3. All previously specified MPAI-PAF Data Types that are specified by V1.3 are superseded. Use of earlier versions is permitted if their version is explicitly signaled..

Table 1 provides the Data Types specified by MPAI-PAF V1.3. MPAI-PAF AIWs and AIMs also utilise Data Types specified by other MPAI Technical Specifications.

Table 1 – Data Types specified by MPAI-PAF V1.3

3D Model Object Avatar 3D Model Basic Scene Descriptors 3D Model Basic Scene Geometry
3D Model Scene Descriptors 3D Model Scene Geometry Body Descriptors Face Descriptors
Gesture Descriptors Portable Avatar

2     Conformance testing

A Data instance of a Data Type Conforms with MPAI-PAF V1.3 if the JSON Data validate against the relevant MPAI-PAF V1.3 JSON Schema and if the Data Conforms with the relevant Data Qualifier, if present. MPAI-PAF V1.3 does not provide method for testing the Conformance of the Semantics of the Data instance to the MPAI-PAF V1.3 specification.

Conformance testing can be performed by a human using a JSON Validator to verify the Conformance of the syntax of JSON Data to the relevant JSON Schema; and, if the Data has a Qualifier, to verify that the syntax of the Data conforms with the relevant values in the Data Qualifier. Alternatively, Conformance testing can be performed by software implementing the steps above.

3. Performance Assessment

Performance Assessment provides methods of assessing the performance of an Data instance. Performance may have various connotations, such as:

  1. Quality: Performance Assessment measures the quality of the Data instance using a metric that depends on the nature of the Data, e.g., the accuracy of reproduction of face emotions on a synthetic face.
  2. Bias: Performance Assessment measures the disparity of treatment applied to the Data instance using a metric that depends on a bias related to certain attributes of the Data instance.
  3. Legal compliance: Performance Assessment uses an appropriate metric to measure how well the Data instance complies with with a certain legal standard.

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