Heterogeneous Sensor Frequency Infusion for Non-Contact Gesture Detection

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Solution Overview

Problem

Fast multi-touch sensors lack the capability to detect detailed non-contact touch events occurring more than a few millimeters from the sensor surface and fail to provide accurate information on the position and orientation of body parts during gestures or interactions.

Innovation Solution

The implementation of heterogeneous sensors that use orthogonal signals transmitted across rows and columns, allowing for the detection of touch and non-contact touch events by measuring signal strength and phase changes, and the use of frequency infusion to determine the proximity and orientation of body parts relative to the sensor surface.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If fast multi-touch sensors are used for rapid touch detection, then response speed is improved, but the ability to detect non-contact touch events beyond a few millimeters is lost

Engineering Contradiction:
Improveresponse speedVSAvoiddetection range for non-contact events
Core Design Contradiction:
SpeedVSMeasurement precision

Solution Approach 1:

The patent combines fast multi-touch sensing technology with frequency infusion technology into a unified sensor system. The fast multi-touch sensor provides rapid response for contact detection, while the frequency infusion component enables detection of non-contact events at greater distances by measuring phase and amplitude changes of injected frequencies, thus merging the advantages of both technologies to resolve the contradiction between response speed and detection range.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The sensor system is designed to perform multiple functions: it can detect both contact and non-contact touch events, identify different body parts (fingers, hand, arm), and determine orientation. This multi-functional capability allows the system to maintain fast response for contact events while also providing extended detection range for non-contact events, addressing the limitation of traditional fast multi-touch sensors.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Ease of manufacture

If traditional capacitive sensing is used, then simple touch detection is achieved, but detailed information on body part position and orientation cannot be provided

Engineering Contradiction:
Improvesensor implementation simplicityVSAvoidbody part position and orientation information
Core Design Contradiction:
Ease of manufactureVSLoss of information

Solution Approach 1:

The patent introduces frequency as an additional dimension for sensing. By injecting different frequencies into different body parts and measuring the phase and amplitude of returned signals, the system can distinguish between different body parts and determine their orientation. This frequency dimension adds rich information about body part position and orientation without complicating the physical sensor structure, thus resolving the contradiction between manufacturing simplicity and information completeness.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Measurement precision

If frequency infusion is used to detect non-contact events, then detection range is improved, but signal separation and identification become more difficult

Engineering Contradiction:
Improvenon-contact event detection capabilityVSAvoidsignal processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system performs preliminary action by injecting known frequencies into the body before measuring the response. Different body parts are pre-assigned specific frequencies, and the system measures the phase and amplitude changes of these pre-injected frequencies to identify body parts and their orientation. This preliminary frequency injection simplifies the signal separation process because the system is measuring known frequencies rather than trying to identify unknown signals, thus reducing processing complexity while maintaining detection capability.

Inventive Principle:
Principle #10Preliminary action

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 of touch events, including non-contact interactions, and provides detailed information on the position and orientation of body parts, enhancing the sensitivity and accuracy of multi-touch sensing systems.

Implementation Method 1

A capacitive touch sensor comprises rows and columns of conductive material in spatially separated layers... The amount of coupling between each row and column can be affected by an object proximate to the junction between the row and column... a change in capacitance between a row and column can indicate that an object, such as a finger, is touching the sensor

Methodology Applied
Scientific EffectCapacitance: Capacitance

Implementation Method 2

the use of frequency infusion to determine the proximity and orientation of body parts relative to the sensor surface... measuring signal strength and phase changes

Methodology Applied
Scientific EffectPhase modulation: Phase Modulation

Data Source

PatentUS11042218B2Apparatus and methods for enhancing digit separation and reproduction
Publication Date: 2021.06.22 TACTUAL LABS CO
  • US11042218B2 patent drawing
  • US11042218B2 patent drawing
  • US11042218B2 patent drawing

AI summary

A handheld controller and a system for modeling movement of fingers about the handheld controller is disclosed. In an embodiment, the handheld controller generates signals for, and acquires touch and infusion data. In an embodiment, a processor creates a heatmap and an infusion map, and combines the information in the maps to determine boundaries between finger positions. In an embodiment, movement of a particular digit on a handheld controller is identified through such boundary constraints. In an embodiment, movement of fingers about a handheld controller is efficiently modeled based on the boundary constraints.