Customized Sport Apparel Manufacturing via Sensor Data
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Solution Overview
Problem
Current methods for customizing sports apparel are expensive, require specialized equipment and trained personnel, and do not account for long-term variations in an athlete's performance characteristics or environmental conditions, limiting their effectiveness.
Innovation Solution
Customized sports apparel is manufactured based on digital models created from sensor data obtained while the athlete wears integrated sensors during sports activities, allowing for automated production techniques like 3D printing and considering individual anatomy and environmental factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dynamic analysis techniques (sensors, video cameras, treadmills) are used to customize sports apparel, then measurement precision is improved, but manufacturing cost increases
Solution Approach 1:
The patent uses optical copying techniques (video cameras, image processing) to create digital models of the athlete's body and movement patterns, replacing expensive physical measurement equipment and expert analysis while maintaining high measurement precision
Solution Approach 2:
The patent replaces mechanical measurement systems (sensors, treadmills, manual measurements) with optical and computational systems (video cameras, image processing algorithms, digital models), reducing the need for specialized equipment and trained personnel
2Measurement precision
If dynamic analysis is performed in a laboratory environment, then measurement precision is improved, but adaptability worsens due to lack of context information
Solution Approach 1:
The patent captures movement data during actual sports activities in natural environments before apparel manufacturing, ensuring the digital model reflects real-world performance characteristics and environmental conditions that the athlete actually experiences
Solution Approach 2:
The patent uses video recording and image processing as intermediaries to capture and analyze athlete movement in natural environments, bridging the gap between laboratory precision and real-world context without requiring controlled laboratory settings
3Ease of manufacture
If static analysis measurements are used for customization, then ease of manufacture is improved, but adaptability worsens as it does not account for dynamic performance characteristics
Solution Approach 1:
The patent transitions from static body measurements to dynamic movement analysis by capturing video of the athlete in motion and processing these images to determine optimal apparel characteristics that adapt to the athlete's actual performance characteristics during sports activities
Solution Approach 2:
The patent uses video recording and image processing to capture more comprehensive movement data than traditional static measurements, analyzing specific phases of athletic movement (e.g., running gait, arm swing) to determine optimal apparel fit and design without requiring complete motion capture laboratory equipment
Data Source
AI summary
An article of sports apparel being customized for a person is provided, and may be manufactured based on a digital model, the digital model built based on received sensor data, the received sensor data obtained by at least one sensor integrated into another article of sports apparel, and the sensor data is obtained while the other article of sports apparel is worn by the person during a sports activity.