Activity Information Providing Method and Electronic Device
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Solution Overview
Problem
Existing health management applications struggle to provide comprehensive activity information beyond specific workouts, limiting their ability to influence aggressive changes in user behavior for achieving exercise goals.
Innovation Solution
An electronic device equipped with sensors and a processor that collects and analyzes movement and exercise data to determine expected activity amounts and provides guide information for achieving activity goals, distinguishing between movement and exercise amounts and assigning weights accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the electronic device measures only movement amount of specific form or exercise amount on specified workout, then the measurement function is simple and easy to implement, but the comprehensiveness of activity information is insufficient
Solution Approach 1:
The patent segments activity measurement into distinct categories: movement amount (from accelerometer data during daily activities) and exercise amount (from heart rate and motion data during specified workouts). This segmentation allows the device to comprehensively track different types of physical activity using appropriate sensors and algorithms for each category, resolving the contradiction between information comprehensiveness and measurement system complexity.
Solution Approach 2:
The electronic device integrates multiple sensing functions into a single platform that can universally measure both daily life movements and structured exercise activities. The processor analyzes data from accelerometers, gyroscopes, and heart rate sensors to provide comprehensive activity information across different contexts, making the device adaptable to various measurement scenarios without requiring separate specialized systems.
2Adaptability or versatility
If the electronic device provides only simple status information such as whether to achieve an exercise goal, then the information processing is simple, but the ability to lead aggressive action change of user is limited
Solution Approach 1:
The patent implements a feedback mechanism where the processor analyzes comprehensive activity information (movement amount, exercise amount, heart rate data) and provides guidance information that feeds back to the user. This feedback loop enables the device to assess current activity levels against targets and recommend specific actions to achieve exercise goals, enhancing user behavior influence through data-driven personalized guidance rather than simple status indicators.
Solution Approach 2:
The device performs preliminary analysis of activity patterns and predicts future activity outcomes based on current trends. By processing comprehensive activity information in advance and providing predictive guidance, the system can proactively suggest actions to achieve exercise goals before the measurement period ends, enabling more aggressive and effective user behavior change through anticipatory recommendations.
Data Source
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AI summary
An electronic device is provided. The electronic device includes a sensor configured to collect sensing information according to a motion of the electronic device, and at least one processor operatively connected with the sensor. The at least one processor is configured to control for obtaining activity information including at least one of an exercise amount that is calculated based on first sensing information obtained according to execution of a specified workout, and a movement amount that is calculated based on second sensing information obtained according to a daily life, determining an expected value of an activity amount, by which a user works out, during a specific time period by a user based on the activity information, and providing guide information for achieving an activity goal associated with the user based on at least one of the expected value of the activity amount and the activity information.