Using Arduino Nano 33 BLE to transform ancient games into life-saving predictive data for the elderly.
Aging causes a disconnect between the brain's visual input and the hand's motor output. When a senior slips, those 200ms of "lag" can be the difference between a minor scare and a major injury.
Traditional "Knucklebone" or "Beanbag" games were actually complex neurological drills. We are reviving these games as a modern diagnostic tool.
By analyzing Force, Direction, and Stability during a toss, we can detect neuro-degeneration years before symptoms appear.
Equipped with a 9-axis IMU to capture high-frequency motion data at the edge.
On-device Machine Learning classifies catch patterns and identifies "instability signatures" in real-time.
Train the brain-hand connection through repetitive, gamified therapy to reduce fall risks significantly.
Professional physiological data collection system. Measure your visual-to-motor latency.
We are building a global database of coordination patterns. Whether you are a coder, a math enthusiast, or a biology student, your contribution helps us refine our AI models.