Gesture Recognition Using Direction Quantization and Sleep Mode Processing
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Solution Overview
Problem
Current gesture recognition technologies face challenges in efficiently recognizing gestures based on directional movements, particularly in reducing power consumption and performing operations in sleep mode without complex image processing.
Innovation Solution
A device and method that utilize a processor with velocity and direction generators, a direction quantization unit, and a gesture recognition unit, which senses object movement using sensors like acceleration, image, or optical flow sensors, to recognize gestures by comparing previous and current directional information and activating the device upon gesture recognition, even in sleep mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex image processing is used for gesture recognition, then gesture recognition accuracy is improved, but power consumption increases
Solution Approach 1:
The patent extracts only the essential directional information from gesture movements using sensors (acceleration, image, or optical flow sensors) rather than performing complete image processing. The sensor data is processed to generate velocity information and directional information, which is then quantized to predetermined directions. This extraction approach maintains gesture recognition accuracy while significantly reducing power consumption by avoiding complex image processing operations.
2Use of energy by moving object
If the device operates in sleep mode, then power consumption is reduced, but gesture recognition capability is limited
Solution Approach 1:
The patent implements preliminary action by storing previous directional information in memory before the device enters sleep mode. When in sleep mode, the device can still recognize gestures by comparing current directional information (from active sensors) with the pre-stored previous directional information. This allows the device to maintain gesture recognition capability in sleep mode with minimal power consumption, as only basic sensor operations and comparisons are performed rather than full processing.
3Device complexity
If directional information is quantized to predetermined directions, then processing complexity is reduced, but measurement precision may be affected
Solution Approach 1:
The patent applies parameter changes by quantizing continuous directional information into discrete predetermined directions (e.g., up, down, left, right, and diagonal directions). This quantization reduces processing complexity by converting continuous data into discrete categories that are easier to process and compare. The system maintains acceptable measurement precision by using a sufficient number of quantization levels and by comparing the quantized directions against stored gesture patterns, which are also defined in terms of these discrete directions.
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 efficient gesture recognition with reduced power consumption and the ability to perform operations in sleep mode, allowing for scale-free, position-free, and orientation-free gesture recognition without complex image processing.
Implementation Method 1
The sensor may include at least one of an acceleration sensor, an image sensor, and an optical flow sensor
Implementation Method 2
The sensor may include at least one of an acceleration sensor, an image sensor, and an optical flow sensor
Implementation Method 3
The sensor may include at least one of an acceleration sensor, an image sensor, and an optical flow sensor
Data Source
AI summary
A device and method for recognizing a gesture according to movement directions of an object.