Inertial Sensor Data Compression for Accurate Orientation Restoration
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Solution Overview
Problem
Existing methods for compressing data from sensors fail to maintain accuracy during the restoration process, leading to potential loss of information and inaccuracies in data representation.
Innovation Solution
An information processing apparatus that uses an inertial sensor to acquire multiple values representing orientation or position at different timings, determining conditions based on these values to selectively compress data using appropriate methods, ensuring accurate data restoration by varying the compression ratios and omitting specific components accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data from the inertial sensor is compressed using a fixed compression method, then the data transmission efficiency is improved, but the accuracy of data restoration deteriorates
Solution Approach 1:
The patent applies dynamics by making the compression method adaptive rather than fixed. The system dynamically selects between first and second compression methods based on the operational state of the information processing apparatus (detected through inertial sensor data). This allows the compression strategy to change in real-time according to whether the apparatus is stationary or moving, thereby maintaining data restoration accuracy across different conditions while preserving transmission efficiency benefits.
Solution Approach 2:
The patent changes the parameter of compression method selection based on the state of the apparatus. When the apparatus is determined to be in a first state (e.g., stationary), a first compression method is applied; when in a second state (e.g., moving), a second compression method is applied. This parameter change approach allows optimization of both transmission efficiency and restoration accuracy by matching the compression strategy to the actual operational context.
2Quantity of substance
If data is compressed with high compression ratio, then the data transmission bandwidth is reduced, but the information loss increases
Solution Approach 1:
The patent changes the compression parameter (compression method) based on the operational state detected by the inertial sensor. By selecting different compression methods appropriate to whether the apparatus is stationary or moving, the system optimizes the balance between compression ratio and information preservation, reducing information loss while still achieving bandwidth reduction benefits.
Solution Approach 2:
The system uses feedback from the inertial sensor to determine the operational state and accordingly selects the appropriate compression method. This feedback mechanism ensures that the compression strategy is informed by actual operational conditions, preventing excessive information loss that would occur with inappropriate fixed compression ratios.
3Device complexity
If a single compression method is used for all states, then the system complexity is reduced, but the data accuracy across different operational states deteriorates
Solution Approach 1:
The patent introduces dynamic state detection using an inertial sensor to determine when to switch between compression methods. While this increases system complexity compared to a fixed method, it enables accurate data compression across different operational states (stationary vs. moving), thereby maintaining data accuracy that would be lost with a single compression method.
Solution Approach 2:
The system performs self-assessment of its operational state through the inertial sensor and autonomously selects the appropriate compression method without external intervention. This self-service approach manages the complexity internally while delivering improved data accuracy across varying conditions.
Data Source
AI summary
An example of a controller calculates the orientation of the controller based on an output from an inertial sensor, and when a value representing the calculated orientation satisfies a first condition, compresses data in a mode 2, and when the first condition is not satisfied, but a second condition is satisfied, compresses the data in a mode 1, and when the second condition is not satisfied, compresses the data in a mode 0. Then, the controller transmits the compressed data to another apparatus.