Motion Recognition Apparatus Chronological Alignment
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Solution Overview
Problem
Current motion recognition technologies cannot individually recognize and evaluate motions performed using different parts of the body simultaneously, such as turning a switch with one hand while holding an object with the other, in manual assembly operations.
Innovation Solution
A motion recognition apparatus and method that acquires time series information, recognizes individual motions for each body part based on defined motion information, and generates a motion recognition result including start and end times, allowing for chronological alignment and comparison of motion recognition results for each body part.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If integrated motion recognition is used to recognize overall body movements, then the system complexity is reduced and ease of operation is improved, but the measurement precision of individual body part motions deteriorates
Solution Approach 1:
The patent divides the motion recognition task into separate processing streams for different body parts (hands, feet, head, torso). Each body part has its own motion recognition model that processes motion data independently, allowing precise identification of individual body part motions while maintaining overall system manageability through modular architecture.
2Measurement precision
If individual body part motion recognition is implemented, then the measurement precision of each body part motion is improved, but the device complexity increases
Solution Approach 1:
The system is segmented into independent motion recognition modules for each body part, where each module contains its own model and processing logic. This modular approach allows precise individual body part recognition while keeping the overall system complexity manageable through clear separation of functions.
Solution Approach 2:
The patent employs a universal motion recognition framework that processes multiple body parts simultaneously using the same fundamental approach. The system uses a common data structure and processing pipeline that can handle different body parts (hands, feet, head, torso) with similar operations, reducing overall system complexity despite the multi-functional requirement.
3Loss of information
If chronological alignment of motion recognition results is implemented, then the loss of information about motion timing is reduced, but the device complexity increases
Solution Approach 1:
The system performs preliminary timestamp assignment to each recognized motion event as it is detected. By immediately recording the timing information when each body part motion is recognized, the system preserves temporal information without requiring complex post-processing alignment operations, thus reducing overall system complexity while preventing information loss.
Data Source
AI summary
Provided is a motion recognition apparatus capable of individually recognizing motions performed using each body part. A motion recognition apparatus (10) includes: an acquisition unit (11) configured to acquire time series information regarding motions of an operator; a motion recognition unit (12) configured to recognize, on the basis of motion information that defines individual motions and the time series information, a motion of the operator corresponding to any one of the individual motions for each body part of the operator and generate a motion recognition result including a start time and an end time of the one of the individual motions corresponding to the recognized motion of the operator for each body part of the operator; and a display unit (13) configured to display the motion recognition result of each body part in a chronologically aligned manner on the basis of the generated motion recognition result.