Rider Performance Analysis Using Segmented Vehicle Motion Data

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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

VSEngineering 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

Engineering Contradiction:
Improveanalysis adaptability to different control behaviorsVSAvoiddetail of rider behavior analysis
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

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.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If segmentation into rider control behaviors is performed, then detailed analysis of specific behaviors is enabled, but the device complexity increases

Engineering Contradiction:
Improvedetail of rider behavior analysisVSAvoidcomplexity of segmentation system
Core Design Contradiction:
Measurement precisionVSDevice complexity

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.

Inventive Principle:
Principle #6Universality (Multi-functionality)

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

Engineering Contradiction:
Improveaccuracy of rider performance evaluationVSAvoidprocessing time for analysis
Core Design Contradiction:
Measurement precisionVSLoss of time

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.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentEP3219567B1Method, system and vehicle for analyzing a rider performance
Publication Date: 2025.02.19 HONDA RES INST EUROPE
  • EP3219567B1 patent drawingFigure 1~3
  • EP3219567B1 patent drawingFigure 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.