Motion-Based Skill Training With Deviation Feedback Knowledge
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Solution Overview
Problem
Conventional skill training methods fail to efficiently convey know-how by simply parameterizing a trainee's motion into numerical values, lacking the ability to effectively present associated knowledge, which hinders efficient skill acquisition.
Innovation Solution
A skill training device that includes a storage unit for motion assessment index information, a motion information detection unit, a motion determination unit, and a notification unit to detect deviations in motion and provide associated knowledge, enabling timely feedback on proper techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional parameterization methods are used to measure trainee motion, then measurement capability is achieved, but learning efficiency remains low due to lack of associated knowledge presentation
Solution Approach 1:
The system provides real-time feedback by detecting motion deviations from normal ranges and immediately presenting associated knowledge to the trainee. The notification unit delivers contextualized guidance when deviations are detected, creating a closed-loop feedback system that accelerates learning by connecting measurements to actionable insights.
Solution Approach 2:
Associated knowledge acts as an intermediary between raw motion measurements and trainee understanding. Instead of directly presenting numerical deviation data, the system translates measurements into contextualized knowledge segments that explain the significance of deviations and provide correction guidance, making the measurement data meaningful and actionable.
2Loss of information
If all motion data is presented to the trainee, then complete information is provided, but information overload reduces learning effectiveness
Solution Approach 1:
The system applies local quality by providing information selectively based on where deviations occur in the motion sequence. Instead of uniformly presenting all motion data, it focuses notification on specific segments where deviations from normal ranges are detected, delivering concentrated, relevant knowledge precisely where needed in the motion process.
Solution Approach 2:
The system extracts only the essential associated knowledge segments that correspond to detected deviations from normal ranges. By filtering out redundant information and presenting only the knowledge directly relevant to current motion errors, the system eliminates information overload while maintaining completeness of essential learning content.
3Reliability
If direct teaching by skilled workers is used, then skill transmission occurs, but transmission accuracy is low due to intuitive teaching methods
Solution Approach 1:
The system replaces the mechanical/intuitive teaching method with an automated measurement and evaluation system. Objective sensors and algorithms detect motion parameters and compare them against standardized normal ranges, substituting subjective human judgment with precise, consistent automated measurement that eliminates variability in skill evaluation.
Solution Approach 2:
The system transforms qualitative skill assessment into quantitative parameter measurement. By defining normal ranges for specific motion parameters and measuring actual performance against these parameters, the system converts subjective skill evaluation into objective, data-driven assessment that ensures consistent and accurate skill transmission.
Data Source
AI summary
A control device includes a storage unit that stores motion assessment index information for mapping a normal range for doing work motion to associated knowledge about the normal range, a motion information detection unit that detects motion information which is the result of measuring motion of a trainee, a motion determination unit that determines whether or not the motion information detected by the motion information detection unit deviates from the normal range stored in the storage unit, and a notification unit that acquires from the storage unit the associated knowledge mapped to the normal range from which the motion determination unit determines that the motion information deviates, and gives notice of the associated knowledge.