Vehicle Alarm Device Using Dynamic Deceleration Learning

The patent applies dynamics by transitioning from a static assumption of constant deceleration speed to a dynamic model that captures actual driver behavior. The system learns and adapts to variable deceleration patterns based on distance and speed, allowing the alarm timing calculation to reflect real-world driving characteristics rather than relying on simplified constant value assumptions.

The system applies self-service by automatically learning driver behavior patterns without requiring explicit user input or specification. The alarm device autonomously captures deceleration operations and awareness timing through sensors and processors, eliminating the need for drivers to manually define these parameters while still achieving high alarm timing accuracy.

The patent applies preliminary action by pre-processing and storing raw sensor data during normal driving operations. The system continuously captures distance, speed, and deceleration information in the background, so that when learning is needed, the processed data is already available, significantly reducing the time required to achieve accurate alarm timing without sacrificing data quality.