Radio Wave Gesture Recognition Using Segmented Sensing Areas
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Solution Overview
Problem
Conventional gesture recognition devices can only recognize gestures made in predetermined positions, limiting their versatility and accuracy.
Innovation Solution
A gesture recognition method and device using multiple radio wave sensors with distinct sensing areas, where one or more areas are identified as gesture occurrence areas based on signal reception, allowing recognition of gestures made anywhere within these areas, and utilizing machine learning for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single radio wave sensor is used to recognize gestures, then the device complexity is reduced, but the gesture recognition is limited to predetermined positions only
Solution Approach 1:
The monitoring area is divided into multiple sensing areas (first sensing area, second sensing area, third sensing area) with different coverage directions. Each radio wave sensor is assigned to monitor a specific sensing area, enabling the system to recognize gestures across a broader spatial range while maintaining manageable device complexity through functional segmentation
2Adaptability or versatility
If multiple radio wave sensors are used to recognize gestures in any position, then the gesture recognition versatility is improved, but the device complexity increases
Solution Approach 1:
Each radio wave sensor is configured with distinct local characteristics - different monitoring directions, sensing areas, and coverage ranges. The first sensor monitors a first sensing area, the second sensor monitors a second sensing area, and the third sensor monitors a third sensing area. This local differentiation allows the system to achieve comprehensive coverage while maintaining clear functional boundaries that simplify system management
Solution Approach 2:
The gesture recognition device achieves multi-functionality by enabling recognition of various gestures (swiping, tapping, circling) across multiple positions and directions simultaneously. The system can handle different gesture types and locations using the same set of sensors, making the device adaptable to diverse user interactions without requiring additional specialized components
3Ease of operation
If radio wave signals are used for gesture recognition, then the non-contact recognition capability is achieved, but the measurement precision is reduced compared to direct contact methods
Solution Approach 1:
The system merges the detection capabilities of multiple radio wave sensors by combining their respective sensing areas and detection results. The controller integrates information from the first, second, and third sensors to comprehensively determine gesture occurrences, compensating for individual sensor limitations and improving overall measurement precision while maintaining non-contact operation
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 the recognition of gestures made in any position, enhancing accuracy and versatility by identifying the appropriate sensing area and utilizing machine learning for gesture recognition.
Implementation Method 1
The radio wave sensor sends radio wave signals toward a moving body and receives the radio wave signals reflected by the moving body
Data Source
AI summary
Each of radio wave sensors is associated with one of sensing areas, each being an area for sending a radio wave signal toward a moving body and receiving the radio wave signal reflected by the moving body. A gesture recognition method includes identifying, as a gesture occurrence area in which the moving body has made a gesture, one of the radio wave sensors based on results of reception by the sensing areas; and recognizing the gesture based on a result of reception by only one of the radio wave sensors associated with the gesture occurrence area.