Firearm Draw Motion Tracking With Skeletal Scoring Feedback
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Solution Overview
Problem
Existing systems fail to provide effective and efficient methods for tracking and scoring the body motion of individuals drawing and presenting a firearm, which is crucial for improving speed, accuracy, and consistency in situations requiring quick firearm deployment.
Innovation Solution
A computer-implemented system using a camera to track and analyze the user's body motion, creating a digital wireframe skeleton, comparing it to a stored model, and generating ratings based on speed and accuracy, with feedback for improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual coaching and observation methods are used to evaluate firearm drawing motion, then instructor availability and subjective assessment are provided, but measurement precision, consistency, and objective data collection are insufficient
Solution Approach 1:
The patent replaces manual observation and mechanical timing devices with computer vision technology and automated image processing systems. The system uses cameras to capture motion and algorithms to automatically analyze skeletal positions, replacing subjective human assessment with objective computational analysis.
Solution Approach 2:
The patent creates digital wireframe representations (skeletal models) that copy and represent the physical human body's motion. These digital models allow for precise measurement and comparison of motion parameters without requiring physical contact or complex instrumentation on the subject.
2Measurement precision
If comprehensive motion analysis is implemented to improve scoring accuracy, then measurement precision increases, but device complexity and computational requirements increase
Solution Approach 1:
The patent divides the body into segmented skeletal components (bones, joints, limbs) that can be independently tracked and measured. This segmentation allows for precise measurement of specific motion parameters (arm angle, elbow position, draw speed) while using modular computational approaches to analyze each segment separately.
Solution Approach 2:
The patent transforms physical motion parameters into digital measurement parameters through image processing. By converting physical quantities (position, velocity, angle) into pixel coordinates and computational variables, the system achieves precise measurement while using standard computer vision algorithms.
3Productivity
If real-time feedback is provided to improve learning speed, then productivity increases, but device complexity and processing speed requirements increase
Solution Approach 1:
The patent implements automated feedback mechanisms that provide real-time or near-real-time evaluation of drawing motion. The system compares measured parameters against ideal standards and provides corrective feedback, enabling self-correcting practice without requiring constant instructor intervention.
Solution Approach 2:
The patent establishes predetermined ideal motion models and scoring criteria before the actual measurement process. These pre-programmed standards allow for rapid comparison and immediate feedback during practice sessions, eliminating the need for complex real-time decision-making.
4Measurement precision
If detailed motion parameters are tracked to improve assessment accuracy, then measurement precision increases, but loss of information and data management complexity increase
Solution Approach 1:
The patent creates comprehensive digital copies of motion data that can be stored, retrieved, and analyzed without losing information. The skeletal wireframe representations and associated measurement data provide a complete digital record of each drawing motion for later review and comparison.
Data Source
AI summary
A computer system facilitates analysis and scoring of user motion in drawing and presenting a firearm for discharge. The system receives video image of a user drawing, presenting, and discharging a firearm, generates a user skeletal wireframe model in real time and displays the user skeletal wireframe model overlaid on video image of the user in real time. The system identifies the firearm discharge by detecting sound associated with the firearm discharge or firearm position. The system analyzes the movement of the user in drawing, presenting and discharging the firearm and generates a movement score corresponding to the accuracy of user motion in drawing, presenting and discharging the firearm. The system analyzes the user elapsed time drawing, presenting, and discharging the firearm and generates a time score for the user. The system generates a shot score based on the movement score and the time score.