Golf Swing Event Timing Estimation via Motion Similarity

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing methods for estimating the timing of predetermined events in golf swing motion from video recordings are inadequate as they often fail to accurately identify the event due to variations in human motion and changes in pixel values, leading to incorrect estimations.

Innovation Solution

An information processing method that extracts key points related to golf swing motion from video images, including body parts and a golf club, and estimates the timing of events by comparing motion data with reference data, using similarity analysis to improve accuracy and avoid absolute condition failures.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If existing methods use absolute conditions to estimate event timing based on key point positions and pixel value changes, then the estimation process is simple, but the accuracy deteriorates due to variations in human motion and pixel changes

Engineering Contradiction:
Improveevent timing estimation accuracyVSAvoidmotion data acquisition and comparison system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent transforms the estimation approach from using absolute threshold conditions to using relative similarity comparison. Motion data (positions and velocities of key points) are compared against reference motion data using similarity metrics, allowing the system to adapt to variations in human motion patterns while maintaining accurate event timing detection

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system pre-acquires reference motion data representing ideal or average motion patterns for the specific event. This reference data is stored and used as a benchmark for comparison, enabling the system to handle variations in actual motion while maintaining consistent and accurate event timing estimation across different instances

Inventive Principle:
Principle #10Preliminary action

2Reliability

If the system focuses on pixel value changes in specific regions to detect events, then the detection method is straightforward, but reliability deteriorates due to insufficient consideration of human motion variations

Engineering Contradiction:
Improveevent detection reliabilityVSAvoidmotion data extraction and analysis difficulty
Core Design Contradiction:
ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The system segments the detection task into multiple components: extracting key points representing body parts and tools, calculating their positions and velocities, and comparing these motion parameters against reference data. This segmentation allows comprehensive analysis of motion patterns while maintaining organized and manageable processing steps

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces motion data (positions and velocities of key points) as an intermediary between raw video frames and event detection. This intermediary representation captures essential motion characteristics while filtering out irrelevant visual noise, enabling more reliable event detection that accounts for human motion variations

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If the system uses simple key point extraction to estimate event timing, then the processing speed is fast, but measurement precision deteriorates due to inadequate consideration of both body part and tool motion

Engineering Contradiction:
Improveevent timing estimation precisionVSAvoidvideo processing speed
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The system merges the analysis of body part motion and tool motion into a unified motion data set. By extracting key points for both the human subject and the tool (e.g., golf club) and analyzing their combined motion patterns, the system achieves comprehensive event detection with higher precision while maintaining efficient processing through integrated analysis

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS20240257518A1Information processing method and information processing device
Publication Date: 2024.08.01 BRIDGESTONE SPORTS CO LTD
  • US20240257518A1 patent drawing
  • US20240257518A1 patent drawing
  • US20240257518A1 patent drawing

AI summary

An information processing method includes extracting key points related to golf swing motion of a human subject from each of images in a video. The information processing method includes acquiring data representing motion of both the human subject and a golf club in each of the images, based on the key points, the data including data related to at least one of positions, or velocities, of both a body part of the human subject and the golf club. The information processing method includes estimating a timing of a predetermined event in the video based on a similarity between the data acquired for each of the images and reference data representing motion of a person and the golf club, upon occurrence of a condition in which the predetermined event in the golf swing motion occurs.