Wearable Sensor Glove for Accurate Motion Verification
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Solution Overview
Problem
Existing automatic detection systems struggle to accurately determine operational motions in operation sites and production environments due to the complexity of human movements, which cannot be effectively captured by single sensor signals.
Innovation Solution
An operational information management system equipped with multiple sensors mounted on an operator's body, combining sensor information to verify and determine specific body motions, and a wearable sensor glove that synchronizes and transmits multiple sensor signals wirelessly to accurately assess operation performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single sensor signal is used to detect operational motions, then the device complexity is reduced, but the measurement precision and reliability of operation detection deteriorate
Solution Approach 1:
The patent combines multiple sensor signals (acceleration sensor, pressure sensor, sound sensor) into an integrated detection system. The operation determination unit synthesizes data from all sensors to accurately identify operational motions, resolving the contradiction by merging multiple data sources to achieve high measurement precision while maintaining manageable system complexity through unified processing.
Solution Approach 2:
The patent uses a composite sensing approach where multiple sensor types (acceleration, pressure, sound) work together as a composite detection system. Each sensor type contributes different aspects of operational information, and their combined output provides comprehensive and accurate operation detection that no single sensor could achieve alone.
2Measurement precision
If multiple sensor signals are combined to accurately determine operational motions, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The operation determination unit serves multiple functions: it processes acceleration data, pressure data, and sound data, then integrates them to determine operational motions. This multi-functional processing unit handles diverse sensor inputs through a unified approach, improving measurement precision while avoiding the need for separate complex processing systems for each sensor type.
Solution Approach 2:
The operation determination unit acts as an intermediary that receives and harmonizes data from multiple sensor types. It standardizes and integrates the diverse sensor signals before passing the determined operational information to the report generation system, thereby managing complexity while maintaining high detection accuracy.
3Ease of operation
If manual inspection is used to confirm operations, then the ease of operation is maintained, but the productivity and reliability of operation confirmation deteriorate
Solution Approach 1:
The system enables self-service operation confirmation by automatically detecting and determining operational motions through sensor data analysis. The operation determination unit autonomously identifies whether operations have been correctly performed without requiring manual inspection, thereby dramatically improving productivity and reliability while maintaining ease of operation through automatic reporting.
Solution Approach 2:
The report generation unit provides immediate feedback on operation correctness by analyzing sensor data and determining whether operations were performed properly. This automated feedback mechanism replaces manual inspection, improving both productivity (faster confirmation) and reliability (consistent, objective assessment) while requiring minimal operational intervention from users.
4Productivity
If automated detection systems are implemented, then the productivity improves, but the reliability of operation determination deteriorates due to inability to accurately detect complex human motions
Solution Approach 1:
The system merges multiple sensor types (acceleration, pressure, sound) to capture the complexity of human operational motions. By combining these diverse data sources, the operation determination unit achieves reliable detection of complex motions that single sensors cannot capture, thereby maintaining high productivity while improving determination reliability.
Solution Approach 2:
The automated detection system uses a composite sensing approach where acceleration sensors capture motion dynamics, pressure sensors detect contact forces, and sound sensors identify operational sounds. This composite sensor system reliably determines complex human operations that would be impossible to detect accurately with a single sensor type, ensuring both productivity and reliability.
Data Source
AI summary
An operation motion is accurately determined in an operational information management system. The system includes a motion verification portion that combines and verifies plurality of pieces of sensor information and recognizes a specific body motion, a signal determination portion that determines whether an operation content of an operator is correctly performed based on the body motion recognized by the motion verification portion, and a report portion that reports a determine result of the signal determination portion.