Stride Length Calibration for Wearable Distance Tracking
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Solution Overview
Problem
Mobile devices without distance monitoring elements, such as GPS, face inaccuracies in calculating user movement distance due to reliance on user-inputted features or continuous communication with GPS-equipped devices, leading to inconvenient and unreliable statistics.
Innovation Solution
A stride length calibration method that detects user movement, determines if calibration is needed based on preset database criteria, and updates the stride length using actual movement distance collected from a paired device with a GPS, allowing independent and accurate distance calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If stride length is estimated based on user-inputted body feature information, then the device can calculate movement distance without GPS, but the calculation accuracy is poor and large errors exist
Solution Approach 1:
The patent changes the parameter used for stride length calculation from static body feature information to dynamic actual movement data. By collecting acceleration data during movement and calculating actual stride length based on acceleration peaks and time intervals, the system achieves both independence from GPS and improved measurement precision.
2Measurement precision
If a communication connection is established with a GPS-equipped device to obtain actual movement distance, then accurate movement distance can be obtained, but the communication connection must be always maintained and GPS must be always operating
Solution Approach 1:
The patent enables the wearable device to independently calculate movement distance using its own motion sensors and algorithms. The device processes acceleration data locally to determine stride length and movement distance without requiring continuous external assistance from GPS-equipped devices, thus eliminating the need for persistent communication connections.
Solution Approach 2:
The patent extracts the distance measurement capability from external GPS-dependent systems and implements it natively in the wearable device through motion sensor-based calculation. This extraction allows the device to function independently without relying on external communication infrastructure.
3Productivity
If motion sensors are used to detect movement status and collect step data, then the device can provide movement statistics, but the movement distance calculation remains inaccurate without proper stride length calibration
Solution Approach 1:
The patent implements a feedback mechanism where the device collects actual movement data through motion sensors, calculates stride length from this data, and uses the calculated stride length to improve subsequent movement distance calculations. This closed-loop approach continuously refines measurement precision while maintaining productivity in movement statistics collection.
Data Source
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AI summary
This specification discloses a stride length calibration method. The method includes: detecting, by a first device, that a user is walking or running, and collecting a quantity of movement steps of the user; determining whether a stride length of the user in a preset database needs to be calibrated, and if calibration is needed, requesting to obtain, from a second device, an actual movement distance of the user, where the stride length of the user in the preset database is provided to the first device to calculate a movement distance of the user; calculating, by the first device, an actual stride length of the user based on the actual movement distance of the user and the quantity of movement steps of the user; and updating the stride length of the user in the preset database by using the actual stride length obtained through calculation. According to the solutions, stride length estimation and calibration can be performed on the first device that is not equipped with a distance monitoring element, thereby improving accuracy of calculating the movement distance of the user by the first device.