Capacitive Pattern Detection for Passive Physical Objects
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Solution Overview
Problem
Current computing devices lack an efficient method to detect input from passive physical objects without additional electronic components, as they rely on active objects with power sources and separate communication channels, limiting the ability to recognize and interact with unpowered devices.
Innovation Solution
A system that detects capacitive patterns from physical objects, determines their characteristics, and modifies application managers and user interfaces to enable input detection and interaction with passive physical objects using geometric patterns and conductive materials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If computing devices rely on active objects with power sources and separate communication channels for input detection, then input detection capability is achieved, but device complexity and energy consumption increase
Solution Approach 1:
The patent extracts the power source and communication channel from the physical object, transferring these requirements to the computing device itself. The object becomes a simple capacitive element without electronic components, while the computing device performs all detection and processing functions through its existing touchscreen controller and processor.
Solution Approach 2:
The patent replaces the need for active electronic communication channels with passive capacitive coupling. Instead of requiring wireless or wired communication protocols, the system uses the inherent capacitive interaction between the touchscreen and the physical object to detect input, substituting electronic communication with electromagnetic field-based detection.
2Ease of manufacture
If computing devices use passive physical objects without power sources, then ease of manufacture and device simplicity improve, but the ability to detect and recognize object characteristics deteriorates
Solution Approach 1:
The patent makes the touchscreen controller multi-functional by enabling it to detect both standard touch inputs and capacitive patterns from passive objects using the same hardware infrastructure. The existing controller is repurposed to extract multiple characteristics (position, orientation, object type) from passive objects without requiring additional sensors or processing units.
Solution Approach 2:
The patent changes the detection parameters from requiring active signals to detecting passive capacitive characteristics. By monitoring changes in capacitance, conductance, and impedance at different touchscreen locations, the system can infer object properties such as material composition, shape, and orientation without the object providing any active signal.
3Measurement precision
If the system detects detailed capacitive patterns to determine object characteristics, then measurement precision improves, but processing time and computational requirements increase
Solution Approach 1:
The patent segments the capacitive detection into multiple discrete measurement points across the touchscreen surface. By measuring capacitance and conductance at specific locations independently and then combining these segmented measurements, the system efficiently determines overall object characteristics without requiring exhaustive scanning of the entire touchscreen area.
Solution Approach 2:
The patent performs preliminary classification of detected objects by analyzing basic capacitive signatures first. Once an object is preliminarily identified as a known type, the system can use pre-stored characteristic data for that object type, avoiding the need to perform complete and time-consuming analysis for every interaction.
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 detection and interaction with passive physical objects, allowing for dynamic input recognition and integration with multi-touch inputs, without requiring additional electronic components in the objects, and supports recognition of object classes, capabilities, and spatial changes.
Implementation Method 1
detect a capacitive pattern from a physical object
Implementation Method 2
using geometric patterns and conductive materials
Data Source
AI summary
In one example, a method for detecting input can include detecting a capacitive pattern from a physical object and detecting that the physical object is a passive physical object. The method can also include determining a plurality of characteristics corresponding to the passive physical object based on the capacitive pattern, wherein the plurality of characteristics comprise a type of the physical object and a capability of the physical object. Additionally, the method can include modifying an application manager to detect input from the passive physical object based on the plurality of characteristics and modifying a user interface setting detected from the capacitive pattern.