Arm Movement Analysis Using Torso Data Subtraction
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Solution Overview
Problem
Existing technologies fail to accurately analyze the movement state of a user's arm independent of the torso movement, leading to inaccurate identification of arm swing forms during activities like running, as they rely solely on detection data from devices attached to the arm without considering the torso's movement.
Innovation Solution
An information processing system comprising a first device attached to the arm and a second device attached to the torso, which communicate to generate compound arm movement data and torso movement data, allowing the system to calculate and display the arm's movement state independent of the torso's movement by subtracting the torso's movement data from the compound arm data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detection data from arm-only devices is used to analyze arm movement, then the analysis is simple, but the accuracy of arm swing form identification deteriorates due to inability to separate torso movement from arm movement
Solution Approach 1:
The system segments the arm movement analysis into two components: torso movement and relative arm movement. By using separate detection devices for the torso and arm, the system can independently measure each component and then combine the data to achieve accurate arm swing form identification while maintaining system simplicity.
Solution Approach 2:
The torso movement data acts as an intermediary that mediates between the raw arm detection data and the final arm swing analysis. By introducing this intermediate measurement and processing step, the system resolves the contradiction by enabling accurate separation of movement components without requiring complex single-device solutions.
2Measurement precision
If multiple detection devices are used to separate torso and arm movement detection, then measurement precision improves, but device complexity increases
Solution Approach 1:
The detection system is segmented into two independent devices: one for torso detection and one for arm detection. This segmentation allows each device to focus on a specific measurement task, improving overall measurement precision while keeping individual device complexity low and manageable.
Solution Approach 2:
Each detection device is designed to be multi-functional, capable of detecting various movement parameters (acceleration, angular velocity, orientation) relevant to both torso and arm analysis. This universality reduces the need for specialized complex devices for each measurement type.
3Reliability
If arm movement is analyzed without considering torso movement, then analysis simplicity is maintained, but reliability of arm swing form assessment deteriorates
Solution Approach 1:
The system extracts torso movement data from the combined arm detection data by using a separate torso detection device. This extraction process removes the confounding influence of torso movement from the arm movement analysis, significantly improving assessment reliability while keeping data processing straightforward through simple data subtraction or differentiation.
Data Source
AI summary
An information processing device includes at least one processor, in which the at least one processor acquires first information related to a first movement state of at least one of an arm and a leg of a user performing a movement, the first movement state on which a movement state of a torso of the user is superimposed, acquires second information related to a second movement state of the torso of the user performing the movement, and generates third information related to a third movement state of the at least one of the arm and the leg of the user based on the first information and the second information.