RF Sensor Gesture Recognition Without Skin Contact
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Solution Overview
Problem
Existing gesture recognition technologies face limitations such as unstable signal detection due to lack of permanent body contact, requiring users to attend to device screens, and the need for both hands to control devices when using sensors on one hand, along with the constraints of sensor placement and installation.
Innovation Solution
A method and device using Radio Frequency (RF) sensors that generate and process RF signals to recognize gestures by switching frequency bands based on user movement, employing artificial neural networks to differentiate gestures without the need for direct skin contact or complex sensor placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pressure sensor arrays or light sensor arrays are used for gesture recognition, then gesture detection capability is improved, but the device requires tight fixing on user's wrist and permanent skin contact
Solution Approach 1:
The patent replaces mechanical contact-based sensors (pressure sensors, light sensors requiring skin contact) with RF sensors that detect gestures through radio frequency signals. This substitution eliminates the need for tight fixation and permanent skin contact while maintaining gesture detection capability, as RF signals can penetrate through materials like wristband fabric to detect tissue movements.
Solution Approach 2:
The patent introduces RF signals as an intermediary medium between the sensor and the user's body. Instead of direct contact between sensors and skin, RF signals serve as the mediator that interacts with body tissues to detect gestures, thereby eliminating the need for permanent skin contact and tight device fixation.
2Adaptability or versatility
If radar sensor is placed at a distance from user for in-the-air gesture recognition, then gesture control flexibility is improved, but user must keep hands within radar field and attention to device screen is required
Solution Approach 1:
The patent segments the gesture recognition function into two parts: RF signal transmission/reception handled by the device, and gesture detection performed locally at the user's wrist through tissue movement analysis. This segmentation allows the device to operate without requiring hands to remain within a fixed radar field, as the sensing occurs at the wrist regardless of hand position.
Solution Approach 2:
The patent performs preliminary gesture recognition at the wrist level by detecting tissue movements through RF signals before the user needs to interact with the device screen. This preliminary detection eliminates the need for users to keep attention on the screen or maintain specific hand positions within a radar field, as gestures are already recognized and processed locally.
3Productivity
If sensors are placed on one hand for gesture control, then device portability is improved, but both hands become busy with device control
Solution Approach 1:
The patent makes the wristband device multi-functional by enabling it to recognize gestures from either hand independently. The RF-based sensing system can detect tissue movements regardless of which hand performs the gesture, allowing users to control the device with either hand while keeping the other hand free for other tasks, thereby eliminating the limitation of single-hand control.
4Measurement precision
If piezo-based pressure sensors are used for gesture detection, then gesture recognition accuracy is improved, but device requires tightly affixing to wearer
Solution Approach 1:
The patent replaces the mechanical pressure sensing system with an RF-based electromagnetic sensing system. This substitution eliminates the need for complex mechanical affixing mechanisms and tight device attachment, as RF sensors can detect tissue movements through non-contact electromagnetic fields, thereby reducing device complexity while maintaining or improving gesture recognition accuracy.
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 and accurate gesture recognition without the need for direct skin contact or complex sensor placement, allowing users to control devices with one hand while maintaining flexibility in sensor placement, improving user convenience and reducing the need for external sensors.
Implementation Method 1
successively generating sets of RF signals by at least one transmitter and successively emitting the sets of RF signals into tissues of user body part via at least one antenna; receiving the sets of RF signals reflected from and distorted by the tissues of user body part by at least one receiver
Data Source
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Figure 3
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AI summary
To recognize a gesture and control a function in an electronic device, an operating method of an electronic device includes the operations of detecting a change of a Radio Frequency (RF) signal emitted into a body using an RF sensor, determining a gesture corresponding to the RF signal based on reference data corresponding to the gesture, and executing a function of the electronic device corresponding to the determined gesture.