Activity Intensity Determination Using Kinematic Sensor Calibration

The patent uses an intermediary calibration model that maps kinematic sensor data to intensity levels through a heart rate-based calibration process. The server acts as an intermediary that receives heart rate data during calibration sessions, processes it along with kinematic data, and generates a personalized mapping model. This model then enables intensity determination using only kinematic sensors during actual activity sessions, eliminating the need for continuous heart rate monitoring while maintaining accuracy through the pre-established relationship between kinematic patterns and heart rate responses.

The calibration process is performed in advance during dedicated calibration sessions before regular activity monitoring begins. The system collects heart rate and kinematic sensor data during these preliminary sessions to establish the user-specific mapping model. Once calibrated, the system can accurately determine intensity levels during subsequent activity sessions without requiring additional calibration time, as the mapping model is already established and stored for reuse.

The patent creates a universal calibration model that works across multiple activity types by establishing separate mapping models for different activity categories (e.g., running, cycling, swimming). The system identifies the current activity type and selects the appropriate pre-calibrated model for intensity determination. This approach allows the same core processing architecture to handle diverse activities without requiring activity-specific hardware or complex processing, as each activity type has its own validated mapping model that can be independently applied.