Pure emotions
Happy, calm, sad, angry, scared, surprised, confused, tired, hurt, overloaded, bored, sound.
Local-first test queue for the camera collector: richer emotions, AAC-style wants, hands/body/audio, and AR mask experiments. No raw biometric storage by default.
The prototype now separates pure emotion hints from practical communication cards. Wants include daily needs plus core words that are useful across many situations.
Happy, calm, sad, angry, scared, surprised, confused, tired, hurt, overloaded, bored, sound.
Drink, eat, toilet, outside, play, sleep, help, break, quiet, hug, more, stop, yes, no, music.
Current base layer for face mesh, blendshapes, head pose, eye openness, and mouth movement.
Official web docsCurrent base layer for fingertips, pinch/open hand, body keypoints, leaving-frame, and restlessness.
Hand docsAlternative browser model to compare face stability, long-distance detection, and runtime cost.
GitHubAR-mask candidate for face-attached effects if the current canvas mask needs stronger tracking.
GitHubAnother browser AR candidate for face filters and anchored overlays.
GitHubVocabulary direction: wants, feelings, routine needs, and reusable core words for communication.
ASHA AAC overviewFuture optional layer: Apple Watch or smart band heart rate, HRV, movement, activity, and rest context.
Apple health and fitness docsTest mouth crop classifier or segmentation; current tongue value is only a mouth-open heuristic.
Detect hand-to-mouth, pointing, self-touch, stop gesture, reach, wave, and repeated movement bursts.
Train per-child classifier on blendshapes, pose, hands, audio, time context, and caregiver labels.
Classify nonverbal vocalization intensity, pitch contour, repeated hums, and distress bursts.
Add consented Apple Watch / smart band signals as context, not diagnosis: heart rate, HRV, motion, sleep/rest.