Motion Data Comparison for Operator Skill Transfer
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Solution Overview
Problem
There is a need for an efficient technique to train operators with less practical experience quickly, especially in rapidly changing labor markets due to globalization and labor mobility, to enhance their productivity and proficiency in specific operations.
Innovation Solution
An information processing device equipped with sensors and a software program that compares the motion data of less experienced operators with that of experts, identifying improvement points and providing real-time feedback to enhance training efficiency and effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional training methods are used for operators with less practical experience, then training time and resources are consumed, but the efficiency and speed of skill acquisition remain insufficient
Solution Approach 1:
The system captures motion data from operators during training and provides real-time feedback by comparing their movements with expert motion patterns. This immediate feedback loop allows operators to correct their techniques quickly, significantly reducing the time required to acquire skills while improving training efficiency
Solution Approach 2:
The system creates digital copies of expert motion patterns and uses these as reference standards for comparing operator performance. By copying and analyzing expert techniques, the system enables rapid skill transfer to operators without requiring extensive traditional training time
2Measurement precision
If detailed motion analysis and real-time feedback systems are implemented, then training effectiveness is improved, but system complexity and implementation cost increase
Solution Approach 1:
The system uses a single integrated platform that performs multiple functions: capturing motion data, comparing it with expert patterns, providing real-time feedback, and tracking training progress. This multi-functional approach achieves high measurement precision without proportionally increasing system complexity
Solution Approach 2:
The system introduces a computational intermediary that automatically compares operator motion data with expert patterns and generates feedback. This intermediary handles the complex analysis work, reducing the need for complex physical measurement devices while maintaining high analysis accuracy
Data Source
AI summary
According to one embodiment, an information processing device includes a memory and a hardware processor in communication with the memory. The hardware processor is configured to acquire a first motion data indicating a motion of a first operator, acquire a second motion data indicating a motion of a second operator, compare the first motion data and the second motion data, determine a similarity of the first motion data and the second motion data, and present to the first operator instruction data indicating an improvement point relating to a motion at a time of performing a predetermined operation in accordance with a determination result.