Wearable Sensor Mode Control via Movement Pattern Analysis

The patent applies dynamics by enabling the electronic device to dynamically switch between multiple operation modes (first operation mode for normal activities, second operation mode for exercise activities) based on real-time analysis of movement patterns. The processor continuously monitors sensing data, analyzes movement characteristics, and automatically transitions between modes to ensure the displayed activity information always matches the user's current intended activity, thereby resolving the contradiction between recognition accuracy and user convenience.

The patent implements self-service by enabling the electronic device to autonomously analyze its own sensing data, automatically identify movement patterns, and self-determine the appropriate operation mode without requiring user input or manual mode selection. The processor performs self-monitoring of acceleration data, self-analysis of movement characteristics, and self-switching between operation modes, thereby improving user convenience while keeping the control system relatively simple through automated decision-making algorithms.

The patent applies segmentation by dividing activity information collection into distinct segments based on operation modes. In the first operation mode, the device collects and displays general activity information (such as daily steps, calories, and movement duration). In the second operation mode, it segments and collects exercise-specific information (such as exercise type, intensity, and duration). This segmentation allows the device to process and display only the most relevant information for each mode, reducing information processing complexity while improving information relevance.