Wearable Accelerometer Signals for Sleeping Position Detection
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Solution Overview
Problem
Existing technologies lack a technical solution for determining a user's sleeping position using a wearable device.
Innovation Solution
A method and device that utilize a wearable device to obtain an acceleration signal, convert it using a transformation function, and determine the sleeping position based on the converted signal, employing a processor and storage circuit to identify the user's position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wearable devices use sensors such as accelerometers, gyroscopes, and magnetometers to identify user position, then position identification capability is improved, but the device complexity and energy consumption increase
Solution Approach 1:
The patent extracts and utilizes only the acceleration signal from the accelerometer, discarding the need for gyroscopes and magnetometers. By focusing on a single sensor type and its specific signal component, the solution reduces device complexity while maintaining position identification capability through clever signal processing and transformation.
2Measurement precision
If multiple sensors are used to determine sleeping position, then measurement precision is improved, but energy consumption increases
Solution Approach 1:
The invention extracts only the necessary acceleration data from the wearable device, eliminating the need to process signals from multiple sensors. This extraction approach significantly reduces computational load and energy consumption while still achieving accurate sleeping position identification through transformation functions and coordinate system conversions.
3Speed
If acceleration signals are directly used for position determination, then processing speed is improved, but measurement precision deteriorates
Solution Approach 1:
The patent applies preliminary actions by first converting the acceleration signal from the sensor's coordinate system to a standard coordinate system using transformation functions, and then performing normalization. These preprocessing steps are executed before position determination, ensuring that the subsequent analysis works with standardized, high-precision data while maintaining efficient processing through automated computational steps.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate identification of a user's sleeping position, facilitating improved sleep management and understanding through a wearable device.
Implementation Method 1
wearable devices can use sensors such as accelerometers, gyroscopes, magnetometers
Data Source
AI summary
An embodiment of the present invention discloses a sleeping position identification method, a sleeping position identification device, and a computer readable storage medium. The method comprises: obtaining a first acceleration signal from a wearable device worn by a user; converting the first acceleration signal into a second acceleration signal based on a transformation function; and determining a current sleeping position of the user based on the second acceleration signal.