Wearable Motion Trajectory Tracking With Step and Direction Data
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Solution Overview
Problem
Wearable devices consume excessive energy when generating motion trajectories due to processing large amounts of navigation, accelerometer, and gyroscope data.
Innovation Solution
Generate motion trajectories using step data and direction data from a wearable device, determining a second coordinate based on first coordinates, step data, and direction data to reduce data processing volume and computational load, thereby reducing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the wearable device processes large amounts of navigation data, accelerometer data, and gyroscope data to generate motion trajectory, then the motion trajectory can be accurately generated, but the energy consumption increases significantly
Solution Approach 1:
The patent extracts and processes only the necessary data (step data and direction data) from the wearable device to generate motion trajectory, rather than processing all available data (navigation data, accelerometer data, gyroscope data). This selective data extraction reduces computational load and energy consumption while maintaining trajectory accuracy.
Solution Approach 2:
The patent segments the data processing task by separating step data processing from direction data processing, and further divides the motion trajectory generation into multiple steps (obtaining first coordinate, determining second coordinate, generating trajectory). This segmentation allows for more efficient processing and reduces overall computational complexity.
2Measurement precision
If the wearable device processes large amounts of navigation data, accelerometer data, and gyroscope data to generate motion trajectory, then the motion trajectory can be accurately generated, but the computational load increases
Solution Approach 1:
The patent extracts and processes only the necessary data (step data and direction data) from the wearable device to generate motion trajectory, rather than processing all available data (navigation data, accelerometer data, gyroscope data). This selective data extraction reduces computational load and energy consumption while maintaining trajectory accuracy.
Solution Approach 2:
The patent segments the data processing task by separating step data processing from direction data processing, and further divides the motion trajectory generation into multiple steps (obtaining first coordinate, determining second coordinate, generating trajectory). This segmentation allows for more efficient processing and reduces overall computational complexity.
3Productivity
If the wearable device uses GPS functionality to generate motion trajectory, then the trajectory can be obtained, but the battery life decreases
Solution Approach 1:
The patent extracts and processes only the necessary data (step data and direction data) from the wearable device to generate motion trajectory, rather than processing all available data (navigation data, accelerometer data, gyroscope data). This selective data extraction reduces computational load and energy consumption while maintaining trajectory accuracy.
Solution Approach 2:
The patent changes the data processing parameters by focusing on step data and direction data instead of processing all sensor data. This parameter change reduces the computational intensity and energy consumption, thereby extending battery life while maintaining trajectory generation capability.
Data Source
AI summary
A method for generating a motion trajectory of a device is provided. The method includes: obtaining a first coordinate of a wearable device, and obtaining step data and direction data generated by the wearable device; determining a second coordinate of the wearable device based on the step data and the direction data; and generating a motion trajectory of the wearable device based on the first coordinate and the second coordinate.

