Matrix Sensors Orthogonal Signaling Gesture Detection
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Solution Overview
Problem
Current touch sensors face challenges in accurately detecting hand positions and gestures, particularly in distinguishing between signals from nearby digits and reducing interference, while also modeling finger and hand motions and poses with high accuracy.
Innovation Solution
The implementation of capacitive touch sensors using a multiplexing scheme based on orthogonal signaling techniques such as frequency-division multiplexing (FDM), code-division multiplexing (CDM), or hybrid modulation, combined with signal injection methods, allows for the detection of touch events, including hover and gestures, by analyzing capacitance changes and proximity through a matrix array of antennas with dynamic reconfiguration and signal processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If signal injection is used to enhance appendage detection, then detection range is improved, but signal interference from nearby digits increases
Solution Approach 1:
The sensor surface is divided into multiple independently controllable sensing regions or electrodes. By segmenting the detection area, the system can selectively activate specific regions to detect particular digits, reducing cross-interference from nearby digits while maintaining extended detection range through coordinated operation of multiple segments.
Solution Approach 2:
Different regions of the sensor are assigned different signal injection patterns, frequencies, or phases tailored to local detection needs. This allows optimization of detection sensitivity in specific areas while minimizing interference effects in adjacent regions, enabling precise local digit identification even when multiple digits are present.
2Adaptability or versatility
If existing sensor data is used for finger separation, then digit detection capability is improved, but accuracy in distinguishing nearby digits deteriorates
Solution Approach 1:
The system performs preliminary signal injection and characterization of each digit's capacitive properties before final identification. By pre-establishing signal patterns for individual digits and their spatial relationships, the system creates a reference framework that enables more accurate separation and identification of nearby digits during actual detection.
Solution Approach 2:
The system continuously monitors sensor signals and uses feedback algorithms to distinguish between signals from different digits. By analyzing signal characteristics, spatial distribution, and temporal patterns, the feedback mechanism refines digit separation accuracy and reduces misidentification of nearby digits.
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
This approach enables precise detection and processing of touch events with low latency, providing 3D positional fidelity and improved resolution at various distances, effectively reducing interference and enhancing the accuracy of hand position and gesture modeling.
Implementation Method 1
capacitive touch sensors using a multiplexing scheme based on orthogonal signaling techniques
Implementation Method 2
matrix array of antennas with dynamic reconfiguration and signal processing
Data Source
AI summary
An array of antennas form a sensor device. Some of the array of antennas function as receivers and some of the array of antennas function as transmitters. Each of the transmitters may transmit a unique frequency orthogonal signal that may be received at the receivers. Measurements of the received signal are then used to determine activity within field lines.