A Jitter Elimination and Data Compression Algorithm for Pressure Sensor Array

Abstract

This paper proposes an algorithm to process data of high-precision sensor array with data compression. To eliminate the jitter in pressure sensing, the Speeded-up Robust Features(SURF), Fast Approximate Nearest Neighbor Search Library(FLANN), RANdom SAmple Consensus(RANSAC), Gaussian filter and motion compensation are implemented. Moreover, data compression is conducted based on JPEG-LS and Run-length coding. As a result, the proposed algorithm achieves the jitter eliminating and high compression ratio.