Wearable Bowling Sensor for Motion Metric Analysis
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Solution Overview
Problem
Current methods lack an effective system for analyzing and improving bowling shot performance by comparing motion parameters of successful shots with real-time data, leading to inconsistent results and suboptimal performance.
Innovation Solution
A wearable motion sensor device integrated with a microcomputer system, including digital accelerometers and gyroscopes, transmits data to a mobile device for analysis and comparison with stored metrics, allowing users to adjust their shots based on visual feedback and historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion sensors and microcomputer systems are integrated into wearable devices for real-time bowling shot analysis, then measurement precision and feedback quality improve, but device complexity increases
Solution Approach 1:
The patent combines multiple sensors (accelerometers, gyroscopes, magnetometers) and processing units into an integrated wearable device that attaches to the bowling ball. This merging of components enables comprehensive motion capture and analysis while maintaining a compact form factor that does not interfere with bowling performance.
Solution Approach 2:
The wearable device performs multiple functions: it captures raw sensor data, processes the data to calculate bowling shot metrics, stores historical performance data, and provides real-time feedback. This multi-functionality consolidates what would otherwise require separate systems into a single integrated solution.
2Reliability
If real-time comparison of bowling shot metrics with historical data is implemented, then performance improvement effectiveness improves, but loss of time in data processing increases
Solution Approach 1:
The system pre-calculates and stores ideal bowling shot metrics from historical successful shots before the actual bowling activity. During bowling, the wearable device directly compares real-time sensor data against these pre-established benchmarks, enabling immediate feedback without requiring complex post-processing analysis.
Solution Approach 2:
The system provides continuous real-time feedback by comparing current shot metrics with historical data and ideal benchmarks. This feedback loop allows bowlers to immediately adjust their technique based on quantitative measurements, improving performance effectiveness while maintaining rapid data processing through optimized comparison algorithms.
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
This system provides users with measurable feedback to improve their bowling performance by analyzing and comparing motion parameters, enabling adjustments to achieve consistent and optimal shot metrics.
Implementation Method 1
digital accelerometer sensors
Implementation Method 2
digital gyroscope sensors
Data Source
AI summary
A system and method for improving bowling shot performance based on bowling shot metrics calculated from the analysis of bowling shot sensor data from the user are disclosed. The system comprises a motion sensor/computer device integrated with a bowling glove, a microcomputer system, wireless data communications coupled to methods for data capture from the sensorized glove, and a mobile electronic device for accessing and displaying a bowler's current and historical performance data using the Internet. The performance metrics include ball revolutions rate at release, ball speed, force, backswing duration, front swing duration and shot tempo. Comparing the current and historical performance data allows the user to adjust his or her bowling swing accordingly.