Wrist Sensor Frequency Analysis for Indirect Digit Motion Detection
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Solution Overview
Problem
Conventional methods for detecting finger movement in wearable terminals require complex configurations and multiple sensors for each digit, making them cumbersome and inefficient.
Innovation Solution
A portable information terminal equipped with a processor and sensors like acceleration and gyro sensors that measure limb movement frequency data, allowing indirect determination of digit motion by extracting specific frequency patterns from wrist surface movements, eliminating the need for large-scale configurations and multiple sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used for each digit to detect finger movement, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the detection task by separating high-frequency digit movement signals from low-frequency limb movement signals through frequency domain analysis. This allows a single sensor to effectively detect multiple types of movements by processing their frequency characteristics separately, eliminating the need for multiple sensors per digit.
Solution Approach 2:
The patent makes a single acceleration sensor perform multiple functions by analyzing different frequency components of its output signal. The same sensor data is used to detect both limb movement (low frequency) and digit movement (high frequency), making the sensor universal for both detection purposes without requiring additional sensors.
2Measurement precision
If complex sensor configurations are used for gesture recognition, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent extracts only the necessary high-frequency components from the sensor data that correspond to digit movements, separating them from the low-frequency limb movement data. This extraction approach enables accurate gesture recognition using only the relevant signal portions, simplifying the operational process without requiring complex sensor arrangements.
3Measurement precision
If multiple sensors are deployed across the limb, then measurement precision is improved, but quantity of substance increases
Solution Approach 1:
The patent merges the detection capabilities for both limb movement and digit movement into a single sensor system. By combining frequency analysis techniques, the system processes both low-frequency and high-frequency signals from one acceleration sensor, thereby reducing the total number of sensors required while maintaining measurement precision.
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 intuitive and efficient recognition of finger gestures without the need for complex sensor setups, providing a convenient mechanism for gesture recognition in wearable devices like smart watches.
Implementation Method 1
an acceleration sensor that measures translational movement
Implementation Method 2
a gyro sensor that measures rotational movement
Data Source
AI summary
For indirect determination of digit movement, apparatus, methods, and computer program products are disclosed. The apparatus for indirect determination of finger movement includes a processor and a memory that stores code executable by the processor. The processor obtains frequency data corresponding to movement of a user's limb, extracts frequency data having a predetermined feature value from the measured frequency data; and determines from the extracted frequency data whether the movement of the limb corresponds to a predetermined digit motion.