High‑intensity interval training (HIIT) is outperforming moderate, proven by a new study showing older adults lose fat while keeping muscle. Our challenge? Bringing that same precision and intensity to vision therapy. AmblyoPunch, built on Unity for Meta Quest, uses a four‑stage dichoptic plan that splits each stimulus into two eyes and progressively scales difficulty—essentially a HIIT regime for your brain‑eye system. The game incorporates fast‑paced coin punches, red‑spike dodges, and real‑time eye‑tracker adjustment, giving players tangible metrics for improvement.
From a dev lens, the physics and UI were designed to be non‑intrusive yet revealing: a HUD that tracks stage completion, a settings menu that lets you pick eye, severity, and strabismus type—all within a single controller menu. The result: a game‑forward therapy that keeps patients engaging, just like kids stay motivated in a HIIT app. Want to see how we calibrated the contrast for each eye in real‑time? We’ll drop the code snippet next week.
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