Real-time emotional-state read-outs for the therapist in the room.
Computer Vision
Affective Computing
HealthTech
Real-time
//FIG.06 — waveform
Real-time AI emotional-state analysis for therapy: video-based, data-augmented insights that give clinicians a second channel of signal during a session.
//Role
Creator & engineer
//Status
In Development
//Access
Live / public
//Problem
Clinicians read emotion in the moment but can’t track subtle shifts across a whole session. A second, objective channel can surface signal a human might miss.
//Architecture
Video-based emotional-state analysis runs in real time and augments it with data, presenting clinician-facing insights without taking the human out of the loop.
//Role
Creator and engineer — the analysis pipeline and the clinician-facing insight layer.
//Outcome
In development as a clinician decision-support tool for therapy.
What it took
Technical proof.
▸Real-time emotional-state analysis from video.
▸Data-augmented insights surfaced for clinicians during sessions.
▸Designed for the therapeutic setting, clinician-in-the-loop.
//Private system — no live link. Architecture and status only; never data, positions, or credentials.←Back to all work
06In Development