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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

Personal Status Extraction (MMC-PSE):

Receives Text Object or Text Descriptors
Text Selector indicating whether Text or Text Descriptors should be used
Speech Object or Speech Descriptors
Speech Selector indicating whether Speech or Speech Descriptors should be used
Face or Face Descriptors
Face Selector indicating whether Face or Face Descriptors should be used
Body or Gesture Descriptors
Body Selector indicating whether Body or Gesture Descriptors should be used.
Computes and then Interprets depending on whether the Descriptors of a Modality (Text, Speech, or Face) have been received:
Text Descriptors; alternatively, Interprets the received Descriptors and produces Personal Status of the Text Object (PS-Text).
Speech Descriptors; alternatively, Interprets the received Descriptors and produces Personal Status of the Speech Object (PS-Speech).
Face Descriptors; alternatively, Interprets the received Descriptors and produces Personal Status of the Face (PS-Face).
Gesture Descriptors; alternatively, Interprets the received Gesture Descriptors of the Body .
Multiplexes The results of the interpretations.
Produces The Personal Status of the Entity.

2     Reference Model

Figure 1 depicts the Reference Model of the Personal Status Extraction AIM.

Figure 1 – The Personal Status Extraction Composite AIM Reference Model

3    Input/Output Data

Table 1 specifies the Input and Output Data of the Personal Status Extraction AIM.

Table 1 – I/O Data of the Personal Status Extraction AIM

Input data From Description
Input Selector An external signal Media or Descriptors Selector
Text Object Keyboard or AIM Text or Recognised Text.
Text Descriptors An upstream AIM Functionally equivalent to Text Description.
Speech Object Microphone/upstream AIM Speech of Entity.
Speech Descriptors An upstream AIM Functionally equivalent to Speech Description.
Face Visual Scene Description The face of the Entity.
Face Descriptors An upstream AIM Functionally equivalent to Face Description.
Body Visual Scene Description The body of the Entity.
Gesture Descriptors An upstream AIM Functionally equivalent to Body Description.
Output data To Description
Personal Status A downstream AIM For further processing

4     SubAIMs

A Personal Status Extraction AIM instance can be implemented as a Composite AIM with different degrees of composition. The most extended composition if depicted by Figure 2

Figure 2 – The version of Personal Status Extraction AIM with the highest level of composition.

Table 1 – AIMs and JSON Metadata

AIMs Names JSON
MMC-PSE Personal Status Extraction X
MMC-ETD Entity Text Description X
MMC-ESD Entity Speech Description X
PAF-EFD Entity Face Description X
PAF-EBD Entity Body Description X
MMC-PTI PS-Text Interpretation X
MMC-PSI PS-Speech Interpretation X
PAF-PFI PS-Face Interpretation X
PAF-PGI PS-Gesture Interpretation X
MMC-PMX Personal Status Multiplexing X

5     JSON Metadata

https://schemas.mpai.community/MMC/V2.2/AIMs/PersonalStatusExtraction.json

6     Profiles

The Profiles of Personal Status Extraction are specified.

7. Reference Software

8. Conformance Testing

9. Performance Assessment

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