An ecosystem-ready affective interface built on the Finnox-V2.0 multimodal model, helping applications and devices understand human state, intent and likely next actions.
window 01 / 03
Intent result
A relaxed and pleasant social exchange
Expression
Natural smile · bright eyes
Movement
Leaning in · steady gaze
Voice
Bright tone · steady pace
Meaning
Checking in · caring reply
window 02 / 03
Intent result
Expressing concern while assessing unexpected news
Expression
Eyes widen · mouth opens
Movement
Phone held tight · posture tenses
Voice
Sharp inhale · rising pitch
Meaning
Questioning · uncertain result
window 03 / 03
Intent result
Sharing the result in a relaxed, upbeat way
Expression
Open smile · focused gaze
Movement
Head tilts · steady grip
Voice
Bright tone · natural rhythm
Meaning
Playful exaggeration · sharing
These results come from the multimodal analysis of the sample video shown and do not represent a universal accuracy rate across videos or contexts.
Sensing feeds understanding, memory keeps it continuous, and response brings it into real interaction.
Read subtle cues from vision, audio, behaviour and the environment.
Use the current situation to understand emotion, intent and change.
Maintain a stable sense of the subject and its starting state.
Connect signals, events and context over time to understand change.
Distinguish self from others and anticipate likely emotions and actions.
With permission, remember preferences, habits and important moments.
Turn understanding into language, UI, sound, light or device action.
Provide state trends, likely intent and suggested actions.
Pass the result to robots, smart devices or business systems.
Every output keeps its supporting evidence, confidence and usage boundaries, so an application knows how to respond—and when to pause.
The primary state observed now.
How that state is evolving.
What may be needed next in context.
A suitable response direction.
How certain it is and where it applies.
Sparse or conflicting signals are explicitly marked “Uncertain.”
*Three ways an application can respond
Connect camera, microphone and mmWave radar to a real device and build a first interaction.
Developer KitUse short demos to see what EmoraOS receives, understands and gives back.
Playground