Inertial Sensor Orientation Compression for Accurate Data 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 ratio based on the state of the apparatus.
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 restored data deteriorates
Solution Approach 1:
The patent applies dynamics by making the compression method adjustable based on the operational state of the information processing apparatus. The system dynamically selects between first and second compression methods depending on whether the apparatus is in a predetermined state (e.g., rest position), allowing the compression approach to adapt to current conditions rather than using a fixed method.
Solution Approach 2:
The patent changes the parameter of compression method selection based on the state of the apparatus. By monitoring whether the apparatus is in a predetermined state and adjusting the compression method accordingly, the system optimizes both transmission efficiency and restoration accuracy for different operational conditions.
2Quantity of substance
If data is compressed with high compression ratio, then the data amount is reduced, but the information loss increases
Solution Approach 1:
The patent changes the compression parameter (compression method) based on the apparatus state. When in the predetermined state, one compression method is applied; when not in that state, a different compression method is used. This dynamic parameter adjustment optimizes the balance between data reduction and information preservation for different operational scenarios.
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.


