| 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
Gesture Personal Status Extraction (PAF-GPE):
| Receives | Input Selector signalling whether a Gesture Object or Gesture Descriptors are provided. |
| Body Object, the Body Object from which the Personal Status should be extracted. | |
| Externally computed Gesture Descriptors from which the Personal Status should be extracted. | |
| Produces | Gesture Personal Status. |
2 Reference Model
Figure 1 specifies the Reference Model of the Gesture Personal Status Extraction (PAF-GPE) AIM.
Figure 1 – Reference Architecture of the Gesture Personal Status Extraction (PAF-GPE) AIM
3 Input/Output Data
Table 1 specifies the Input and Output Data of the Gesture Personal Status Extraction (PAF-GPE) AIM.
Table 1 – I/O Data of the Gesture Personal Status Extraction (PAF-GPE) AIM
| Input | Description |
| Input Selector | Signals whether a Body Object or its Gesture Descriptors should be used to extracts Gesture Personal Status. |
| Body Object | Gesture Object from which the Personal Status should be extracted.. |
| Gesture Descriptors | Descriptors from which the Personal Status should be extracted.. |
| Output | Description |
| Gesture Personal Status | The computed Gesture Personal Status. |
4 SubAIMs
A Gesture Personal Status Extraction (PAF-GPE) AIM instance may be implemented as a Composite AIM as specified in Figure 2.
Figure 2 – Reference Model of Gesture Personal Status Extraction (PAF-GPE) Composite AIM
5 JSON Metadata
https://schemas.mpai.community/PAF/V1.2/AIMs/GesturePersonalStatusExtraction.json
6 Profiles
No Profiles.
7. Reference Software
8. Conformance Testing
9. Performance Assessment
