Sensor-Embedded Sports Projectile for Automated Movement Analysis
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Solution Overview
Problem
Current sports training systems lack automated analysis and feedback mechanisms to improve sports performance, relying on expensive personal coaches and inadequate manual tracking of projectile movements, which limits the extent of statistical analysis and personalized training advice.
Innovation Solution
A system that uses sensors in sports equipment to monitor user and projectile movements, compares them against reference data from professional athletes, and provides automated training advice through a user interface on mobile devices, enabling users to emulate professional playing styles and share analysis results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tracking and analysis of projectile movements is used, then device complexity is reduced, but measurement precision and extent of statistical analysis are insufficient
Solution Approach 1:
The patent replaces manual mechanical tracking methods with automated sensor-based systems. Sensors embedded in projectiles and computing hardware automatically detect and analyze movement data, substituting human-operated mechanical systems with electronic sensing and computational analysis, thereby improving measurement precision while managing system complexity through automation.
Solution Approach 2:
The patent introduces sensors as intermediary devices between the projectile and the analysis system. These sensors act as mediators that capture movement data and transmit it to computing hardware, enabling precise automated analysis without requiring direct human intervention in the measurement process, thus improving analysis precision while keeping the system manageable.
2Reliability
If personal coaches are hired for sports training, then training quality and personalized advice are improved, but cost increases significantly
Solution Approach 1:
The patent enables athletes to receive automated training advice and performance analysis through software applications and sensor systems without requiring human coaches. The system performs self-analysis by comparing user performance data against reference data from professional athletes, providing personalized training recommendations automatically, thereby maintaining training quality while eliminating coach-related costs.
Solution Approach 2:
The patent creates digital copies of professional athletes' performance data and training methodologies, storing them as reference data in the system. Users can compare their performance against these digital replicas of professionals, receiving guidance based on proven techniques without needing actual coaches, thus maintaining training quality while reducing costs.
3Productivity
If automated sensor-based tracking is implemented, then productivity and analysis capability are improved, but device complexity increases
Solution Approach 1:
The patent employs sensors with multi-functional capabilities that can detect various types of movement data (position, velocity, acceleration, rotation) simultaneously. The software application serves multiple functions including data collection, analysis, comparison with reference data, and provision of training advice, thereby improving analysis capability while managing complexity through versatile, multi-purpose components.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables cost-effective, automated sports training by providing personalized feedback and analysis, allowing users to improve their performance by emulating professional athletes, and facilitates peer sharing and monetization through subscriptions and advertisements.
Implementation Method 1
The motion sensors include, for example, one or more accelerometers
Implementation Method 2
one or more angular rate gyroscopic sensors
Implementation Method 3
one or more magnetometers
Data Source
AI summary
A system (234, 220, 200) for monitoring movements of one or more users and/or one or more projectiles during sports activities performed by the one or more users is provided. The one or more projectiles (200) incorporate sensors (202, 204) for sensing movements of the one or more projectiles (200) during the sports activities. A user interface (220) is used for presenting automated sports training services. A data processing arrangement (234, 232, 220) is used for analysing one or more records of the movements of the one or more projectiles (200) against reference data, for providing the automated sports training services to the one or more users via the user interface (220).