AR Procedural Training Feedback Using Optical Performance Sensing
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Solution Overview
Problem
Modern procedural training, such as CPR, is costly and inefficient.
Innovation Solution
An apparatus and method utilizing augmented reality (AR) technology with a processor, sensor, and memory to capture optical data, determine procedural performance parameters, and provide visual training feedback through a display unit, including instructional material.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional procedural training methods are used, then training can be conducted with simple materials, but training efficiency is low and costs are high
Solution Approach 1:
The patent replaces traditional mechanical/instructor-based training evaluation with an optical sensing system using cameras and image processing algorithms to automatically analyze trainee performance, thereby improving efficiency while reducing the need for complex manual evaluation systems
Solution Approach 2:
The training system provides automated self-evaluation through computer vision technology that independently analyzes trainee actions, provides real-time feedback, and generates performance reports without requiring continuous instructor intervention, thus improving productivity
2Reliability
If real-time feedback is provided during training, then training effectiveness is improved, but system complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where the optical sensing system continuously monitors trainee performance, compares it against predefined performance functions, and provides real-time visual feedback through the display unit, thereby improving training effectiveness
Solution Approach 2:
The system uses an intermediary processing layer that includes a processor and memory containing performance evaluation algorithms, which mediate between the raw optical data from sensors and the training feedback output, enabling effective real-time feedback without direct complex interactions
3Ease of manufacture
If automated performance analysis is implemented, then training cost is reduced, but measurement precision requirements increase
Solution Approach 1:
The patent creates a virtual copy or digital model of the trainee's performance through image capture and processing, allowing automated analysis and evaluation without requiring direct physical measurement or expensive specialized equipment, thus reducing costs while maintaining measurement capability
Solution Approach 2:
The system transforms physical training parameters into digital representations through optical sensing, converting real-world actions into measurable data parameters that can be automatically processed and evaluated, enabling cost-effective automated analysis
Data Source
AI summary
In an aspect, an apparatus for procedural training is presented. An apparatus includes at least a processor and a memory communicatively connected to at least a processor. A memory contains instructions configuring at least a processor to receive optical data from a sensor in electronic communication with the at least a processor. At least a processor is configured to determine a procedural performance parameter as a function of optical data. At least a processor is configured to compare a procedural performance parameter to a procedural performance threshold. At least a processor is configured to display procedural training feedback through a display unit as a function of a comparison.