An NFA links detected sub-actions across sensor-data frames to reduce labeling ambiguity and computational load during real-time action counting.
Sensor arrays combine swing and trajectory data, exclude mishits, and identify an optimal golf shot without relying on human coaching.
An electronic device combines course data, golfer shot history, and ball position to simulate shots and provide detailed strategy advice.
An in-ball 3-axis magnetometer detects ferrous club-head impact location and spin up to 5000 RPM, with BLE shot-data transfer.
Trainer presence limits sports-training scale; AI motion templates and synchronization enable real-time, personalized comparison.
An accelerometer array in a stationary impact board measures ball force, impact point, and user distance without attaching sensors to athletes.
Fixed workout pacing limits user flexibility; selectable playback speeds synchronize count text and TTS speech with exercise movement.
Simulation and historical course data help organizers test tee, pin, environmental, and player variables before competitive play.
Beamforming scans generate energy distributions to improve SNR and isolate vital-sign signals from exercise-induced shaking.
Golf tracking sensors classify shot types and adapt scoring across a virtual tile grid, helping mixed-skill players compete and receive useful feedback.