The signature calming sequence. When a meltdown is predicted, an animated birthday cake appears on the watch with candles the child "blows out" through slow exhales — a covertly gamified paced breathing exercise. Heart rate and HRV are monitored live; candles relight if breathing speeds up again. Proven regulatory effect in minutes.
Visual, non-clinical reminders for prescribed medication — with age-appropriate icons and no scary language. The AI learns the physiological effect window of each medication (stimulants, anxiolytics, anticonvulsants) and tags that data in the biometric baseline so alerts don't misfire during peak medication hours.
A living log of what dysregulates this specific child. Parents tag each meltdown or stress event with what preceded it — loud classroom, fluorescent lights, fire drill, unexpected schedule change. The AI builds a personal trigger map, surfaces patterns ("Thursdays after lunch are consistently high-risk"), and warns before predictable trigger windows.
Secure shared dashboard for the child's therapist, psychologist, or SEN coordinator. The professional gets read-only access to the biometric timeline and quest completion history — not to personal messages or contacts. Therapy sessions become evidence-informed. Progress is measurable across weeks.
ADHD-specific focus sessions with real-time biometric feedback. The child starts a task, the watch tracks movement and stress; when focus breaks, a gentle buzz redirects without shame. Completed sessions are logged and progress (length, consistency) appears as a visible growth curve in the child's dashboard.
Speech exercise prompts tuned for apraxia, articulation delay, and selective mutism. Visual cues, daily micro-goals, positive reinforcement. When the child tries an exercise, heart rate response shows whether it was stressful or easy — helping SLTs adjust difficulty in the next session.
On-demand access to the child's personal regulation strategies — favourite music, weighted-blanket reminder, compression squeezes, specific videos. The AI learns which tool works best at which time of day by monitoring HRV recovery after each use and offers the right one first next time.
Visual countdown and emotional-state prep for transitions — ending playtime, leaving the house, classroom changes. GPS-aware: the app senses when a known transition is coming (school to home, home to therapy) and pre-emptively offers a mini-regulation sequence to smooth the change.
Short evidence-based mini-games that double as interventions: emotion identification, perspective-taking puzzles, social-cue matching. Difficulty adapts to the child's cognitive profile. Completion generates positive reinforcement hits that the AI links to stress-reduction patterns in the data.
The child sees their own emotional state in simple icons — a friendly calibration tool for children learning to name what they feel. Feeds back directly into the AI's interpretation layer — when the child labels "frustrated" during a stress spike, the model learns that signature for that specific child.