| 1 Function | 2 Reference Model | 3 Input/Output Data |
| 4 SubAIMs | 5 JSON Metadata | 6 Profiles |
| 7 Reference Software | 8 Conformance Texting | 9 Performance Assessment |
1 Functions
Face Personal Status Extraction (PAF-FPE):
| Receives | Input Selector | Signaling whether a Face Object or Face Descriptors are provided. |
| Face Object | From which the Personal Status should be extracted. | |
| Face Descriptors | From which the Personal Status should be extracted (Externally computed). | |
| Produces | Face Personal Status |
2 Reference Model
Figure 1 specifies the Reference Model of the Face Personal Status Extraction (PAF-FPE) AIM.
Figure 1 – Reference Architecture of the Face Personal Status Extraction (PAF-FPE) AIM
3 Input/Output Data
Table 1 specifies the Input and Output Data of the Face Personal Status Extraction (PAF-FPE) AIM.
Table 1 – I/O Data of the Face Personal Status Extraction (PAF-FPE) AIM
| Input | Description |
| Input Selector | Signals whether a Face Object or its Face Descriptors should be used to extracts Face Personal Status . |
| Face Visual Object | Face Object from which the Personal Status should be extracted.. |
| Face Descriptors | Descriptors from which the Personal Status should be extracted.. |
| Output | Description |
| Face Personal Status | The computed Speech Personal Status. |
4 SubAIMs
A Face Personal Status Extraction (PAF-FPE) AIM instance may be implemented as a Composite AIM as specified in Figure 2.
Figure 2 – Reference Model of Face Personal Status Extraction (PAF-FPE) Composite AIM
5 JSON Metadata
https://schemas.mpai.community/PAF/V1.3/AIMs/FacePersonalStatusExtraction.json
6 Profiles
No Profiles.
7. Reference Software
8. Conformance Testing
Table 2 provides the Conformance Testing Method for PAF-FPE AIM. Conformance Testing of the individual AIMs of the PAF-FPE Composite AIM are given by the individual AIM Specification.
If a schema contains references to other schemas, conformance of data for the primary schema implies that any data referencing a secondary schema shall also validate against the relevant schema, if present and conform with the Qualifier, if present.
Table 2 – Conformance Testing Method for PAF-FPE AIM
| Receives | Input Selector | Shall validate against Selector Schema. |
| Visual Object (Face) | Shall validate against Face Object Schema. Face Data shall conform with Visual Qualifier. |
|
| Face Descriptors | Shall validate against Face Descriptors Schema. | |
| Produces | Face Personal Status | Shall validate against Face Personal Status Schema. |
Table 3 provides an example of MMC-FPE AIM conformance testing. This specification provides the methods and the datasets to test the conformance of a PAF-FPE instance without input Face Descriptors.
Table 3 – An example MMC-FPEAIM conformance testing
| Input Data | Data Type | Input Conformance Testing Data |
| Face Object | AVC | All input Video files to be drawn from Video files. |
| Output Data | Data Type | Data Format |
| Emotion (Face) | JSON | All Emotion JSON Files shall validate against Emotion JSON Schema. |
emotion_Name and emotion_SetName must be present in the output JSON file of Emotion. The value of either of the two may be null.
9. Performance Assessment
