Multi-Region Resonant Motion Sensing With a Single Detection Channel
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Solution Overview
Problem
Existing proximity-based user interface technologies require multiple sensors and channels to detect user gestures accurately, leading to increased costs and power consumption as the number of detection targets increases.
Innovation Solution
A single-channel multi-region motion sensor configuration using a first and second resonant circuit with electrodes, where a detection circuit detects differences in resonant frequencies to identify user proximity and motion across multiple regions without separate channels, reducing hardware costs and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate sensors or channels are allocated for each detection target (location, size, type), then detection accuracy is improved, but the number of sensors/channels increases and cost increases
Solution Approach 1:
The detection area is divided into multiple regions (first detection area and second detection area) with different detection sensitivities. The first detection area has higher detection sensitivity for detecting proximity of conductive objects, while the second detection area has lower detection sensitivity. This segmentation allows the system to achieve accurate detection across different locations without requiring separate sensors for each region.
Solution Approach 2:
Different regions of the detection area are assigned different detection sensitivities to match local requirements. The first detection area (e.g., central region) uses higher sensitivity for precise detection of user interactions, while the second detection area (e.g., peripheral regions) uses lower sensitivity to reduce false detections. This local quality approach optimizes detection accuracy where needed while reducing overall system complexity.
2Measurement precision
If multiple channels are used for detecting different aspects of user motion, then detection capability is improved, but power consumption increases
Solution Approach 1:
The detection system is segmented into multiple regions with different sensitivity levels, allowing the controller to adjust detection thresholds dynamically. When a conductive object is detected in the first detection area, the controller can activate more sensitive detection modes; when detected in the second detection area, less sensitive modes are used, thereby reducing overall power consumption while maintaining detection capability.
Solution Approach 2:
The detection sensitivity is made dynamic rather than static. The controller adjusts the detection sensitivity based on the location where the conductive object is detected and the current operational state of the electronic device. This dynamic adjustment allows the system to consume less power by using lower sensitivity modes when high precision is not required, while still maintaining the capability to detect user motions accurately when needed.
3Measurement precision
If detection sensitivity is increased for all regions, then detection accuracy is improved, but false detections increase
Solution Approach 1:
The detection area is divided into multiple regions with different sensitivity thresholds. The first detection area uses higher sensitivity for accurate detection of intentional user interactions, while the second detection area uses lower sensitivity to filter out environmental noise and prevent false detections. This segmentation strategy achieves high detection accuracy without increasing false positive rates.
Solution Approach 2:
Different regions are assigned different detection qualities based on their importance and susceptibility to false detections. Critical interaction areas receive higher sensitivity and more rigorous verification, while peripheral areas use lower sensitivity to avoid false detections from environmental factors. This local quality differentiation resolves the contradiction between detection accuracy and false detection rate.
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 accurate detection and tracking of user motion and gestures using a single channel, reducing hardware costs and power consumption while allowing real-time gesture recognition.
Implementation Method 1
a first resonant circuit; at least one first electrode electrically connected to the first resonant circuit; a second resonant circuit; at least one second electrode electrically connected to the second resonant circuit
Data Source
AI summary
Disclosed are a single-channel multi-region motion sensor and a method of operating the same. The single-channel multi-region motion includes: a first resonant circuit; at least one first electrode electrically connected to the first resonant circuit; a second resonant circuit; at least one second electrode electrically connected to the second resonant circuit; and a detection circuit configured to receive a first electric signal formed on the first resonant circuit and the at least one first electrode and a second electric signal formed on the second resonant circuit and the at least one second electrode. The detection circuit detects a difference between the first resonant frequency of the first electric signal and the second resonant frequency of the second electric signal, and detects the proximity of a conductor or the location of a touch attributable to a user motion.