Rider Performance Analysis Using Segmented Vehicle Motion Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for analyzing rider performance on unstable vehicles, such as two-wheeled vehicles, are limited in their ability to distinguish between consecutive rider control behaviors, leading to a lack of detailed analysis and feedback.
Innovation Solution
The method segments a time series of measured data into distinct segments corresponding to specific rider control behaviors, allowing for a more detailed analysis and adaptation to different control behaviors, even without segmentation into riding maneuvers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the analysis considers a section with plurality of consecutive different behaviors, then the overall riding maneuver can be evaluated, but the analysis becomes less detailed and specific to individual control behaviors
Solution Approach 1:
The patent segments the continuous time series of measured data into distinct segments, where each segment corresponds to a specific rider control behavior (e.g., acceleration, braking, turning). This segmentation enables detailed analysis of individual control behaviors while still allowing evaluation of the overall riding maneuver by analyzing the sequence of segments.
2Measurement precision
If segmentation into rider control behaviors is performed, then detailed analysis of specific behaviors is enabled, but the device complexity increases
Solution Approach 1:
The patent employs a computing unit that performs multiple functions: it segments the time series data, identifies different control behaviors, analyzes each segment, and evaluates the overall maneuver. This multi-functional approach enables detailed behavior analysis without requiring separate dedicated devices for each function, thereby managing system complexity.
3Measurement precision
If the analysis is adapted to the type of control behavior, then more detailed and accurate feedback is provided, but the processing time and complexity increase
Solution Approach 1:
The patent pre-defines multiple control behavior types (acceleration, braking, turning, etc.) and their corresponding analysis methods before actual data processing. When segmenting the time series, the system quickly identifies which pre-defined behavior type each segment represents and applies the corresponding pre-prepared analysis method, avoiding the need to develop analysis methods in real-time and thus reducing processing time.
Data Source
Figure 1~3
Figure 4~5
AI summary
The invention regards a method, a system and a vehicle for analyzing a rider performance. The vehicle is any vehicle that employs a roll angle change for changing its driving direction. Firstly, physical motion parameters of the vehicle in motion are sensed and the measured data is supplied to computing unit. In the computing unit, segments in a time series of measured data are determined by processing the measured data in the computing unit. Each segment corresponds to a rider control behavior and the plurality of such consecutive rider control behavior build a riding maneuver. In the computing unit, the measured data within one segment for at least one of the segments is analyzed by computing at least one characteristic value for the respective segment and/or the sequence of determined segments is analyzed. Finally, an analysis result indicating the rider performance or rider skills is output.