Multicontact Matrix Tactile Sensor Data Acquisition Method
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Solution Overview
Problem
Multicontact matrix tactile sensors require large electronic memory for data acquisition and analysis, leading to increased manufacturing costs and latency in response time due to the need for sequential scanning and complex data analysis.
Innovation Solution
A method for data acquisition that involves sequential scanning of cells, measuring electrical characteristics, comparing weights with predetermined significant values, recording data for cells with significant weights, verifying neighboring cell data, and updating surrounding zones during data acquisition, reducing unnecessary data recording and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sequential scanning of all cells is performed to detect contact zones, then measurement precision is improved, but loss of time increases due to latency in data analysis
Solution Approach 1:
The patent applies preliminary action by computing surrounding zones during the sequential scanning process itself, rather than performing a separate analysis step after scanning completes. As each cell is scanned and its weight measured, the algorithm immediately checks neighboring cells and updates surrounding zones in real-time, preparing the final output data during the data acquisition phase. This eliminates the latency period between scanning completion and analysis, as the analysis is performed preliminarily during the scanning process.
2Measurement precision
If all cell data is recorded during sequential scanning, then measurement precision is improved, but quantity of substance increases leading to larger memory requirements
Solution Approach 1:
The patent applies the taking out principle by extracting and recording only the essential data elements needed for contact zone detection. Instead of storing all raw cell weight data, the system extracts and records only the surrounding zones (groups of neighboring cells with significant weights) and their representative characteristics. This selective extraction reduces the quantity of stored data from potentially thousands of individual cell measurements to a compact representation of contact zones, significantly reducing memory requirements while preserving detection precision.
3Measurement precision
If complex data analysis is performed to determine surrounding zones, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent applies self-service by implementing a lightweight, self-contained algorithm that operates autonomously during the scanning process. The surrounding zone detection logic is embedded directly in the data acquisition routine, allowing the system to self-determine contact zones using only the data being collected, without requiring external processing or complex post-analysis. The algorithm efficiently checks neighboring cells and updates zones using simple weight comparisons and logical operations, maintaining low device complexity while achieving precise contact zone detection.
Data Source
AI summary
A data acquisition method to acquire data from a multicontact matrix tactile sensor having a matrix array of a cells, includes scanning the cells of the matrix array sequentially, and measuring an electrical characteristic of a cell, which represents a weight of the cell. The method also includes comparing the weight with a predetermined significant weight value interval, storing cell data associated with the cell, where the cell data includes the weight and coordinates of the cell in the matrix array, after the weight is determined to lie within the predetermined significant weight value interval. The method also verifies an existence of a data record associated with neighboring cells in a neighboring zone of the cell, and updates the data record associated with the neighboring cells by storing in the data record data associated with the cell, after the existence of the data record is confirmed.


