Work Support Reliability Screening for False Motion Detection

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Solution Overview

Problem

Existing work support devices suffer from false detection of dynamic states, leading to inaccurate work support, particularly when a working entity extends their hand to a wrong position within the monitoring area.

Innovation Solution

A work support device that utilizes a sensor data input device to receive and arrange sensor data in order, a class data calculator to divide and classify the data using templates, a reliability calculator to assess reliability, and a reliability determiner to generate accurate support information based on predefined criteria.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a work support device detects dynamic state by comparing images in a monitoring area, then it can identify work completion, but it produces false detections when the working entity moves to wrong positions

Engineering Contradiction:
Improvework support accuracyVSAvoiddynamic state detection accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent segments the sensor data string into multiple sections based on temporal patterns matching predefined templates. Each section represents a specific operation phase, allowing the system to evaluate correctness independently for each operation rather than treating all movements equally, thereby reducing false detections from incorrect positions.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces reliability as a calculated parameter derived from comparing sensor data patterns against predefined templates. By evaluating whether detected dynamic states match expected temporal patterns for correct operations, the system filters out false detections from incorrect hand positions while maintaining sensitivity to valid work completion events.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If the system reports work completion based on any detected dynamic state, then it provides timely feedback, but it generates false work support information

Engineering Contradiction:
Improvework support response speedVSAvoidwork support accuracy
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent implements a reliability evaluation feedback mechanism where detected sections are compared against predefined templates representing correct operation patterns. The system only generates work support information when the reliability criterion is satisfied, ensuring accurate feedback while maintaining timely response through continuous monitoring and rapid pattern matching.

Inventive Principle:
Principle #23Feedback

3Loss of information

If the system monitors all movements in the monitoring area, then it captures complete work data, but it cannot distinguish between correct and incorrect operations

Engineering Contradiction:
Improvework data completenessVSAvoidoperation correctness identification
Core Design Contradiction:
Loss of informationVSMeasurement precision

Solution Approach 1:

The patent pre-defines templates representing correct operation patterns before monitoring begins. These templates encode the expected temporal patterns of sensor data for correct operations, allowing the system to immediately compare and evaluate detected movements against known correct patterns, thus distinguishing correct from incorrect operations while maintaining complete data capture.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12498692B2Work support device and work support method
Publication Date: 2025.12.16 MITSUBISHI ELECTRIC CORP
  • US12498692B2 patent drawing
  • US12498692B2 patent drawing
  • US12498692B2 patent drawing

AI summary

A work support device supports work including a series of operations performed by a working entity and includes: a sensor data input device receiving a sensor data string in which sensor data obtained by measuring work of the working entity is arranged in order of acquisition; a class data calculator calculating a class data string indicating sections obtained by dividing the sensor data string by comparing the sensor data string with a template that is set for each class as a type of temporal change of the sensor data and is a set including a probability distribution of the sensor data at each time; a reliability calculator calculating reliability for each section based on information on the sections indicated by the class data string; a reliability determiner determining whether the reliability satisfies criterion and generating information on operation included in the section in which the reliability satisfies the criterion.