AR Interface Delay Compensation via Predictive Positioning

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Solution Overview

Problem

Human perception and response delays significantly impact the effectiveness of controlling remote devices, particularly in applications like drone control, where biological compensation mechanisms like the flash-drag effect are insufficient for modern speeds and non-biological data processing.

Innovation Solution

Implementing digital signal processing to predict the trajectory and position of moving objects, adjusting visual data presentation to compensate for delays, and modifying human responses to account for encryption, processing, and transmission times, thereby enabling instantaneous-like control of remote devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If data is transmitted over long distances via satellite and processed through multiple systems, then the range and capability of remote control is improved, but the delay in perception and response time increases significantly

Engineering Contradiction:
Improverange of remote controlVSAvoidperception and response delay
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by predicting the future position of moving objects based on their current trajectory and speed. The AR interface proactively compensates for delays by showing where objects will be, not where they are, allowing operators to act on predicted states rather than reacting to past states after delays occur.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If the flash-drag effect is used to compensate for perception delays, then the response accuracy for naturally moving targets is improved, but it becomes insufficient for modern high-speed targets and non-biological data processing

Engineering Contradiction:
Improveresponse accuracyVSAvoidapplicability to modern targets
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system changes the parameters of visual presentation by dynamically adjusting the predicted position of objects based on multiple factors including speed, trajectory, and calculated delay times. Rather than relying on fixed biological compensation, the system mathematically models and adjusts visual feedback to account for specific operational parameters of each target and communication channel.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If visual data is processed and encrypted through multiple systems, then the security and reliability of control is improved, but the processing time and presentation delay increase

Engineering Contradiction:
Improvecontrol securityVSAvoidprocessing and presentation delay
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system implements feedback by continuously monitoring the actual position of objects and comparing it with predicted positions. The AR interface uses this feedback loop to refine delay compensation calculations in real-time, adjusting the predicted position display based on actual object behavior and system performance, thereby optimizing the balance between security processing and response accuracy.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10482658B2Visualization and control of remote objects
Publication Date: 2019.11.19 SHUSTER GARY STEPHEN
  • US10482658B2 patent drawing
  • US10482658B2 patent drawing
  • US10482658B2 patent drawing

AI summary

Systems, devices and methods for controlling remote devices by modification of visual data prior to presentation to a person in order to make the person's response effectively the same as if the person were responding to data transmitted, processed and acted on instantaneously are disclosed. The systems, devices and methods advantageously minimize or eliminate the risks caused by a human response to data that has been delayed in transmission, processing and presentation. In an embodiment, a person controlling a remote device using an augmented reality interface is able to control the device based on predicted positions of an object at the time action is taken, thereby advantageously compensating for delays in receiving data, acting on such data and transmitting instructions or a response to the remote device.