Exercise Tracking via Multi-Device Sensor Fusion
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Solution Overview
Problem
Current wearable devices and electronic devices lack an effective method to accurately determine the exercise starting timepoint and classify exercises, leading to incomplete and inaccurate exercise information for users.
Innovation Solution
The integration of a communication circuit and processor in electronic devices to receive sensor data from wearable devices, determining the exercise starting timepoint based on heart rate, estimating user posture and distance patterns, and generating exercise information based on these data points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wearable devices and electronic devices are used to track exercise activity, then exercise information can be provided to users, but the accuracy and completeness of exercise starting timepoint determination and exercise classification remain insufficient
Solution Approach 1:
The patent combines data from multiple sensors (heart rate sensor, posture sensor, distance sensor) and multiple electronic devices (wearable device, mobile device) to determine exercise starting timepoint and classify exercises. This merging of multiple data sources resolves the contradiction by improving measurement precision through multi-parameter analysis while preventing information loss through comprehensive data collection
2Measurement precision
If multiple sensors and devices are integrated to improve exercise tracking accuracy, then more detailed exercise information can be obtained, but the system complexity increases
Solution Approach 1:
The patent divides the exercise tracking system into distinct functional modules: heart rate monitoring module, posture detection module, distance tracking module, and exercise classification module. Each module processes specific sensor data independently before integrating results. This segmentation reduces system complexity by organizing multiple sensors and processing functions into manageable, specialized components while maintaining high measurement precision
3Reliability
If exercise information is provided based on limited sensor data, then the system remains simple, but the reliability of exercise tracking information decreases
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors sensor data (heart rate, posture, distance) and adjusts exercise classification and starting timepoint determination based on real-time measurements. The processor compares measured values against predefined thresholds and patterns, providing feedback that improves tracking reliability. This feedback-based approach ensures reliable exercise information without requiring overly complex processing systems
Data Source
AI summary
Electronic devices and methods are disclosed. First and second electronic devices include processors, which implement one or more methods, including receiving sensor data, determining an exercise starting timepoint based on first sensor data, estimating an exercise posture of a user based on second sensor data, estimating a pattern of change in distance between each of the plurality of external electronic devices, indicated by changes in the relative position between each the plurality of external electronic devices over a time period of the determined exercise starting timepoint, based on third sensor data, and generating exercise information based on the estimated exercise posture and the estimated pattern of change in distance between the plurality of external electronic devices.