Gyro Sensor Athletic Maneuver Identification
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Solution Overview
Problem
Conventional systems fail to accurately identify and measure athletic maneuvers in extreme sports due to subjective evaluation and inability to recognize fast rotations, making it difficult for judges and spectators to assess maneuvers effectively, especially in fast-paced events like ski jumps.
Innovation Solution
A computer-implemented method using data from gyroscopic sensors to determine motion characteristics and identify athletic maneuvers, allowing for objective assessment and recognition of complex tricks by processing sensor data from various sources, including gyroscopes and accelerometers, and translating this data into sport-specific nomenclature for better understanding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional inertial sensors are used to measure fast rotations, then sensor measurements can be obtained, but the measurements are not understandable to sport participants and spectators and cannot automatically recognize tricks
Solution Approach 1:
The patent introduces an intermediary processing system that translates raw inertial sensor measurements into sport-specific maneuver identifiers. The system acts as a mediator between the sensor data and human understanding, converting angular velocity data into recognizable trick names and categories that judges and spectators can comprehend
Solution Approach 2:
The patent replaces the human visual assessment system with an automated sensor-based detection system. Instead of relying on spectators and judges to visually evaluate fast movements, the system substitutes mechanical inertial sensors that objectively measure and identify maneuvers, eliminating subjectivity in evaluation
2Adaptability or versatility
If judges and spectators evaluate athletic maneuvers subjectively, then personal perception of difficulty and aesthetics can be expressed, but accurate identification and measurement of maneuvers cannot be achieved
Solution Approach 1:
The patent segments the evaluation process into two distinct components: an automated objective measurement system for accurate maneuver identification using inertial sensors, and a separate subjective evaluation component for judging difficulty and aesthetics. This segmentation allows both precision and adaptability to coexist without interference
Solution Approach 2:
The system introduces an intermediary layer of automated maneuver recognition that bridges the gap between raw sensor data and human judgment. This intermediary process accurately identifies what maneuver is being performed, providing a reliable foundation for subsequent subjective evaluation of its difficulty and execution quality
3Extent of automation
If automated sensor systems are implemented, then objective measurement and automatic recognition of tricks can be achieved, but the system complexity increases
Solution Approach 1:
The patent implements a universal inertial sensor system that can identify multiple types of maneuvers across different extreme sports disciplines. The same sensor platform and processing algorithms handle jumps, flips, rotations, and other tricks, reducing overall system complexity through multi-functionality rather than requiring separate systems for each maneuver type
Solution Approach 2:
The system employs self-calibrating algorithms that automatically adapt to different sports and maneuver types without requiring manual configuration. The inertial measurement unit and processing system serve themselves by automatically learning and adjusting to the specific characteristics of each sport discipline, reducing the burden of system setup and maintenance
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 accurate and objective identification and assessment of athletic maneuvers, enhancing the ability of judges and spectators to evaluate performances and providing detailed insights for athletes and trainers, suitable for virtual competitions and social media integration.
Implementation Method 1
sensor data includes data from a gyroscope
Data Source
AI summary
Embodiments of the present disclosure help identify athletic maneuvers performed by actors and/or their sports equipment using data from sensors, including data from at least one gyroscopic sensor. Among other things, various embodiments can help judges and spectators of extreme sports to identify and assess athletic maneuvers more easily and accurately compared to conventional methods.