Multi-modal value calculation

[s-schumann]

Define model for multi-modal interface.

Some steps (not in order):

• Define all modes (e.g. face, voice)
• Define parameters (e.g. 0..1 in 3 decimals)
• Build data representation accordingly, so the API can process it

Afterwards, think about calculation:

• Average over certain time
• Define how often updated come

Technical questions:

• How to calculate it efficiently?
• How/where to store it?

[s-schumann]

Modes:

• face
• voice

Parameters

• 0-100% (0-1)

[s-schumann]

Current implementation:

• Modes for face and voice are accessible
• Each request provides random values in the interval 0..1 with 2 digits precision (e.g. 0.25)

Open:

• Store of history for average
• Actual calculation

Changed title to track calculation of value.

[s-schumann]

Interface to set/get mulit-modal parameters (vectors) has to be added.

Tracked separately.

[s-schumann]

Maybe proxy the MMI values so that they are distinguished from the rest of the IdM?

[s-schumann]

Steps:

1. Receive MMI values (if MMI values changed)
2. Pass user, MMI_type, MMI_value to function
3. Receive normalized value
4. Write normalized value to DB

Note: Take care that values are deleted