Calibrated Gun Grip Layouts for Backstrap and Sensor Fit
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Solution Overview
Problem
Existing guns lack ergonomic grip layouts that ensure a comfortable and secure grip, particularly when equipped with biometric sensors, leading to potential issues with data collection reliability and user safety.
Innovation Solution
A system for determining a grip layout based on an image of a user's hand, using calibration data and machine learning to predict the optimal backstrap size and sensor location, ensuring a natural grip that facilitates biometric data collection and enhances ergonomics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a biometric sensor is added to the gun, then security and user verification are improved, but the grip ergonomics and comfort deteriorate due to space constraints and additional weight
Solution Approach 1:
The patent applies local quality by customizing specific regions of the grip (backstrap width, contour shape, texture) to match the user's hand anatomy, while strategically positioning the biometric sensor in a location that does not interfere with the natural grip. This allows the sensor functionality to be integrated without compromising the ergonomic quality of the grip surface that contacts the user's hand.
Solution Approach 2:
The patent resolves the contradiction by transitioning from a two-dimensional grip surface to a three-dimensional customized fit. By using hand scanning technology to capture the user's hand geometry and generating a customized grip layout with varying depths, contours, and textures, the system accommodates the biometric sensor while maintaining comfort through volumetric adaptation rather than simple surface modification.
2Ease of operation
If the grip layout is customized to fit individual hand dimensions, then ergonomics and comfort are improved, but manufacturing complexity and cost increase
Solution Approach 1:
The patent applies preliminary action by capturing the user's hand dimensions and generating the customized grip layout design before the manufacturing process begins. The hand scanning and 3D modeling are performed in advance, allowing the manufacturing system to receive pre-calculated parameters for backstrap width, sensor positioning, and contour shaping, thereby simplifying the actual manufacturing execution.
Solution Approach 2:
The patent utilizes parameter changes by representing the customized grip layout as a set of adjustable numerical parameters (backstrap width, sensor coordinates, contour curvature radii, texture density) that can be modified through software algorithms. This parametric approach allows complex customizations to be achieved through mathematical calculations and digital modeling rather than complex physical manufacturing processes, enabling easier adaptation to different hand sizes.
3Productivity
If the biometric sensor is positioned to collect data rapidly, then data collection efficiency is improved, but the grip comfort may deteriorate due to sensor placement constraints
Solution Approach 1:
The patent replaces mechanical adjustment mechanisms with optical and computational systems. Instead of providing multiple physical sensor positions for manual selection, the system uses hand scanning technology to automatically determine the optimal sensor location through image processing and 3D modeling. This substitution allows rapid data collection to be achieved through software-based positioning rather than mechanical trial-and-error, eliminating the need to compromise grip comfort for sensor accessibility.
Data Source
AI summary
The present disclosure provides systems and techniques for determining a grip layout for a gun. The techniques include obtaining an image depicting a hand, obtaining calibration data associated with the image, calculating a real distance between a first landmark of the hand and a second landmark of the hand, and determining a grip layout for the gun based on the real distance between the first landmark and the second landmark. Calibration data may include a scale for the image or data that may be used to derive the scale, such as an object of known dimensions, an angular field of view, or a distance between the device used to capture the image and the hand. The grip layout may include a backstrap size, a sensor size, a sensor location on the gun, or any combination thereof.