How to Measure Emotion in Video
Turn a recorded coaching session, training video, clinical interaction, or research recording into a minute-by-minute seven-emotion timeline. Built with the Mental Edge Emotion Analysis and Face Detection APIs.
Who it's for
Coaches, HR teams, clinical researchers, educators, and product teams who want to understand how people felt during a recorded session — not just what they said.
What you'll use
Step by Step
- Collect or receive the video recording of the session.
- Optionally run face detection first to confirm the video contains usable face footage before spending on emotion analysis.
- POST the video URL or file to the emotion analysis endpoint. Receive a job ID immediately.
- Poll the job status endpoint until status is "completed" (or use a webhook if configured).
- Retrieve the per-second or per-frame emotion timeline. For each time point, you receive scores (0–1) for all seven emotions.
- Visualize the timeline, flag moments of high-intensity negative emotion, and build your summary or report.
The Result
A structured timeline showing exactly how emotional state evolved across the session — surfacing stress peaks, engagement dips, moments of genuine positive affect, and long-run fatigue patterns that a human reviewer would miss.
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