Multi-device Step Counting via Motion Data Correlation
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Solution Overview
Problem
Existing wearable devices, such as smart bands and smartwatches, face challenges in accurately counting steps due to the high degree of freedom in arm movements, leading to errors even when the user is not walking, affecting the step counting performance.
Innovation Solution
A method and device that utilize multiple devices carried by the same user to collaboratively determine the quantity of steps by analyzing motion data, including shock vibration signals, slow-change signals, and converting data to frequency-domain characteristics, to improve accuracy by correlating data from different devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single wearable device uses motion sensor to count steps, then the device can provide step counting function, but step counting accuracy deteriorates due to arm movement interference
Solution Approach 1:
The patent segments the step counting function across multiple devices (e.g., smartwatch on wrist and smartphone in pocket). Each device independently detects motion data, and the system segments the harmful arm movement interference from valid walking signals by comparing data from different body locations, thereby improving step counting accuracy.
Solution Approach 2:
The patent merges data from multiple devices carried by the same user to perform collaborative step counting. By combining motion data from different body positions (wrist, pocket, etc.), the system can distinguish between arm movements and actual walking steps, resolving the interference problem while maintaining measurement precision.
2Measurement precision
If multiple devices are used for collaborative step counting, then step counting accuracy is improved, but device complexity increases
Solution Approach 1:
The patent makes existing step counting devices multi-functional by enabling them to serve both as standalone step counters and as collaborative participants in a networked system. The same motion sensor and processing logic are used for both single-device and multi-device modes, reducing the need for additional specialized components and minimizing system complexity.
Solution Approach 2:
The patent introduces a data processing intermediary that receives motion data from multiple devices, performs correlation analysis, and generates the final step count. This intermediary layer simplifies the complexity by centralizing the collaborative processing logic, allowing individual devices to remain relatively simple while achieving improved accuracy through their coordination.
Data Source
AI summary
A step counting method, a device, and a terminal, where the method includes obtaining, by a first device, step counting data of at least two devices carried by a same user, where the first device is one of the at least two devices, or the first device is different from the at least two devices, and determining, by the first device, a quantity of steps of the user according to the step counting data of the at least two devices. In the method, the quantity of steps of the user is determined according to the step counting data of the at least two devices of the same user in order to avoid a step counting error caused when a single device performs step counting, thereby improving step counting accuracy.