Autonomous Golf Recommendation System Using Sensor Fusion
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Solution Overview
Problem
Current golf performance tracking technologies lack comprehensive, real-time, and personalized recommendations for golfers, failing to provide effective analysis and guidance during and after a round of golf.
Innovation Solution
A system and method utilizing sensors and machine learning algorithms to track a golfer's performance, capturing data on course conditions, environmental factors, user data, and equipment usage, generating autonomous, personalized recommendations and analysis before, during, and after a round of golf.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive sensor data collection and machine learning algorithms are implemented, then personalized recommendation accuracy is improved, but device complexity increases
Solution Approach 1:
The system divides the complex tracking task into multiple segments: GPS module for location tracking, accelerometer for swing mechanics, gyroscope for club orientation, and barometer for elevation changes. Each sensor handles a specific aspect of performance tracking, making the overall system more manageable and reliable
Solution Approach 2:
The patent introduces an intermediary processing layer that collects raw data from multiple sensors, processes it through machine learning algorithms, and generates personalized recommendations. This intermediary layer abstracts the complexity from the user while maintaining high measurement precision through comprehensive data analysis
2Speed
If real-time data processing and analysis are performed, then recommendation timeliness is improved, but energy consumption increases
Solution Approach 1:
The system processes data periodically rather than continuously, analyzing sensor readings at key moments such as during and after each golf swing. This periodic processing provides timely recommendations while significantly reducing energy consumption compared to continuous real-time analysis
Solution Approach 2:
The system performs preliminary data processing and filtering on the golf device itself, pre-processing raw sensor data before transmission to remote servers. This reduces the computational burden during actual gameplay, lowering energy consumption while maintaining fast response times
3Loss of information
If multiple data sources are integrated, then analysis comprehensiveness is improved, but information processing complexity increases
Solution Approach 1:
The patent merges multiple data sources including GPS location data, accelerometer swing data, gyroscope orientation data, barometer elevation data, and environmental conditions into a unified analysis framework. This integration provides comprehensive performance analysis while the systematic approach to combining data keeps processing manageable
Data Source
AI summary
Exemplary embodiments of the present disclosure are directed to systems, methods, and computer-readable media configured to autonomously track a round of golf and/or autonomously generate personalized recommendations for a user before, during, or after a round of golf. The systems and methods can utilize course data, environmental data, user data, and/or equipment data in conjunctions with one or more machine learning algorithms to autonomously generate the personalized recommendations.