Wearable Device Limb Detection via Sensor Fusion
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Solution Overview
Problem
Existing wearable electronic devices lack the ability to accurately determine which limb of a user they are worn on, which is crucial for applications like biometric measurements and medical diagnostics.
Innovation Solution
Incorporating position sensing devices such as accelerometers, gyroscopes, and magnetometers that send signals to a processing device, which analyzes these signals to recognize limb gestures and positions, using pattern recognition algorithms to determine the wearing limb.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If position sensing devices and pattern recognition algorithms are added to determine the wearing limb, then the functionality and measurement accuracy for health applications is improved, but the device complexity increases
Solution Approach 1:
The wearable electronic device integrates multiple position sensing devices (accelerometer, gyroscope, magnetometer) and a processing device with pattern recognition capabilities into a single multi-functional unit. This allows the device to not only track physical activity but also determine which limb it is worn on, enabling health applications like ECG and blood pressure measurements without requiring separate identification mechanisms.
Solution Approach 2:
The device automatically determines the wearing limb by analyzing movement patterns from its own sensors without requiring external input or manual configuration. The processing device executes pattern recognition algorithms on signals from the position sensing devices to autonomously identify whether the device is on the left or right limb, eliminating the need for separate setup procedures.
2Measurement precision
If multiple position sensing devices are integrated to detect limb gestures and positions, then the measurement precision for determining the wearing limb is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple position sensing devices (accelerometer, gyroscope, magnetometer) into a single integrated sensing system. By merging these sensors and their processing functions into one device, the system achieves high measurement precision for detecting limb gestures and positions while avoiding the complexity of managing separate independent devices.
Solution Approach 2:
The processing device acts as an intermediary that receives raw signals from multiple position sensing devices, processes them through pattern recognition algorithms, and outputs the determined wearing limb information. This intermediary processing layer integrates the data from multiple sensors systematically, achieving high measurement precision while managing complexity through structured signal processing.
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 the limb wearing the device, facilitating proper data collection for health-related applications and enhancing the functionality of wearable electronic devices.
Implementation Method 1
Examples of position sensing devices include, but are not limited to, an accelerometer, a gyroscope, and/or a magnetometer.
Implementation Method 2
Examples of position sensing devices include, but are not limited to, an accelerometer, a gyroscope, and/or a magnetometer.
Implementation Method 3
Examples of position sensing devices include, but are not limited to, an accelerometer, a gyroscope, and/or a magnetometer.
Data Source
AI summary
An electronic device that can be worn on a limb of a user can include a processing device and one or more position sensing devices operatively connected to the processing device. The processing device can be adapted to determine which limb of the user is wearing the electronic device based on one or more signals received from at least one position sensing device.