Electronic Apparatus Activity-to-Exercise Detection Logic
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Solution Overview
Problem
Electronic apparatuses often fail to automatically record user activities as exercise information without manual intervention, leading to incomplete or inaccurate exercise data recording.
Innovation Solution
An electronic apparatus equipped with sensors and a processor that automatically detects and records user activities by displaying UI indicators for activity start and exercise conversion based on preset time or intensity, activating additional sensors to measure exercise information, and outputting exercise data without manual manipulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If electronic apparatuses automatically detect and record user activities without manual intervention, then ease of operation is improved, but measurement precision deteriorates due to inability to distinguish exercise from non-exercise activities
Solution Approach 1:
The patent applies parameter changes by monitoring multiple variables simultaneously (acceleration, velocity, time, intensity thresholds) rather than relying on a single parameter. The system dynamically adjusts measurement criteria based on combinations of sensor data, transforming how exercise detection works by evaluating temporal patterns and intensity thresholds rather than simple motion detection.
Solution Approach 2:
The patent implements multi-functionality by using a single sensor group to perform multiple detection functions - distinguishing between various types of activities (walking, running, cycling), determining exercise intensity levels, tracking duration, and identifying exercise start/stop events. This allows one sensor system to replace what would traditionally require multiple specialized sensors or manual input methods.
2Measurement precision
If multiple sensors are activated to improve exercise measurement precision, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent applies dynamics by implementing adaptive sensor activation where the system dynamically selects and activates specific sensors from the sensor group based on real-time activity detection needs. Rather than continuously operating all sensors, the system activates only the necessary sensors for the current exercise type being detected, optimizing resource usage while maintaining measurement precision.
Solution Approach 2:
The patent segments the sensor group into functional subsets that can be independently activated. The sensor group includes acceleration sensors, gyro sensors, and other motion detection sensors that can be selectively engaged based on the type of exercise being performed, allowing the system to manage complexity by organizing sensors into manageable functional units.
3Measurement precision
If the system monitors activity continuously to ensure accurate exercise recording, then measurement precision is improved, but energy consumption increases
Solution Approach 1:
The patent implements periodic action by using intermittent sampling and threshold-based triggering rather than continuous high-rate monitoring. The system periodically checks sensor data against predefined thresholds and only activates full measurement modes when exercise conditions are detected, significantly reducing energy consumption while maintaining accurate exercise detection.
Solution Approach 2:
The system applies self-service by automatically determining when exercise conditions are met based on sensor data patterns, eliminating the need for continuous user input or manual exercise logging. The system serves itself by autonomously identifying exercise events, tracking duration, and recording results without requiring active user engagement or constant system intervention.
Data Source
AI summary
A method and an electronic apparatus is provided. A first UI indicating a start of an activity is displayed when first data indicating that the activity occurs is received from a first sensor. Information is displayed about a preset time or a preset intensity required for the activity to be converted into exercise. The preset time or the preset intensity is set based on user information related to a characteristic of a user. It is detected that the activity is maintained for at least one of the preset time or at the preset intensity. In response to the detecting that the activity is maintained, a second UI is displayed indicating a start of an exercise. A sensor is activated based on the start of the exercise and exercise history of the user. A function is executed for measuring exercise information by using second data received from the activated sensor.