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Function
Ref. Model
I/O Data
SubAIMs
JSON MData
Profiles
Ref. Software
Conformance
Performance

1      Functions

The Personal Status Extraction (MMC‑PSE) AIM receives the four components of the Personal Status – Text, Speech, Face, and Gesture – or their descriptors and produces the Personal Status. The input selector informs the MMC‑PSE whether it should use as input Text, Speech, Face, and Gesture or their descriptors:

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 reception of the Descriptors of a Modality (Text, Speech, or Face).
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 Entity’s Personal Status

2      Reference Model

Figure 1 depicts the Reference Model of the Personal Status Extraction (MMC‑PSE) AIM.

Personal Status Extraction MMC-PSE AIM

Figure 1 – The Personal Status Extraction (MMC‑PSE) AIM

3      I/O Data

Table 1 specifies the Input and Output Data of the Personal Status Extraction (MMC‑PSE) AIM.

Table 1 – I/O Data of the Personal Status Extraction (MMC‑PSE) AIM

Input
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 Object Visual Scene Description The face of the Entity.
Face Descriptors An upstream AIM Functionally equivalent to Face Description.
Body Visual Object Visual Scene Description The body of the Entity.
Gesture Descriptors An upstream AIM Functionally equivalent to Body Description.
Output
To
Description
Personal Status A downstream AIM For further processing.

4      SubAIMs

4.1 Reference Model

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

Personal Status Extraction MMC-PSE Composite AIM

Figure 2 – The Personal Status Extraction (MMC‑PSE) AIM with the highest level of composition

4.2 Operation

A combination of the four media enter the system as media or their descriptors. If media they are described and fed into the appropriate Interpretation AIMs. If they enter as descriptors they enter straight into the appropriate AIMs. Different media can enter as Media or Descriptors. The outputs of the Interpretation AIM are combined in the Personal Status outpu.

4.3 Functions of AI Modules

Table 2 specifies the Function of the AI Modules.

Table 2 – Functions of Health Back End AI Modules

Sub-AI Module Description
Health Federated Learning Performs Federated Learning of Front Ends’ NN Model.
Entity Text Description Provides Descriptors of the input Text.
Entity Speech Description Provides Descriptors of the input Speech.
Entity Face Description Provides Descriptors of the input Dace.
Entity Body Description Provides Descriptors of the input Body.
PS‑Text Interpretation Uses Input Text descriptors to extract the Personal Status of Input Text.
PS‑Speech Interpretation Uses Input Speechdescriptors to extract the Personal Status of Input Speech.
PS‑Face Interpretation Uses Input Face descriptors to extract the Personal Status of Input Face.
PS‑Gesture Interpretation Uses Input Bodydescriptors to extract the Personal Status of Input Bosy.
Personal Status Multiplexing Multiplexes Media Personal Statuses into Personal Status.

4.4 I/O Data of AI Modules

Table 4 gives the AIMs and JSON Metadata of MMC‑PSE. AIM1 indicates the Composite AIM and AIM2 its SubAIMs.

Table 4 – AIMs and JSON Metadata of the Personal Status Extraction (MMC‑PSE)

AIM1
AIM2
Name
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/V2.5/AIMs/PersonalStatusExtraction.json

6      Profiles

The Profiles of the Personal Status Extraction (MMC‑PSE) AIM are specified.

7      Reference Software

Not part of this specification.

8      Conformance Testing

Table 3 provides the Conformance Testing Method for the MMC‑PSE AIM as a Basic AIM. Conformance Testing of the individual SubAIMs is given by the individual AIM specifications.

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 3 – Conformance Testing Method for the MMC‑PSE AIM

Input
Text Object Shall validate against Text Object schema. Text Data shall conform with Text Qualifier.
Text Descriptors Shall validate against Text Descriptors schema.
Text Selector Shall validate against Text Selector schema.
Speech Object Shall validate against Speech Object schema. Speech Data shall conform with Speech Qualifier.
Speech Descriptors Shall validate against Speech Descriptors schema.
Speech Selector Shall validate against Speech Selector schema.
Face Visual Object Shall validate against Visual Object schema. Visual Data shall conform with Visual Qualifier.
Face Descriptors Shall validate against Face Descriptors schema.
Face Selector Shall validate against Face Selector schema.
Body Visual Object Shall validate against Visual Object schema. Visual Data shall conform with Visual Qualifier.
Gesture Descriptors Shall validate against Gesture Descriptors schema.
Body Selector Shall validate against Body Selector schema.
Output
Entity Personal Status Shall validate against Personal Status schema.

9      Performance Assessment

Not part of this specification.

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