Ambient Intelligence and Emotionally Intelligent Devices
summary
Software reads facial micro‑expressions in near real time using convolutional neural networks trained on over a million images and reports seven universal emotions plus face tracking, 3D head pose, gender, age and engagement metrics (drowsiness, attention, valence). Models tune per race and environment — a 94% baseline in one market that used to need six months of retraining improves within days — available as an ultra‑light embeddable SDK or near‑real‑time cloud API.
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chapters (5)
- 0:00Introduction to talk
- 1:52Machine emotional vocabulary
- 5:50Ambient intelligence explained
- 8:01Live emotion recognition demo
- 10:42Q&A session
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