MATRIX PRESSURE SENSOR WITH NEURAL NETWORK, AND CALIBRATION METHOD
摘要:
Matrix pressure sensor with neural network, and calibration method
Matrix pressure sensor (1), comprising: a matrix (2) of tactile pixels (10) at least some of which have a reciprocal crosstalk effect between them, a neural network (30) for processing an image (IP_MES) of the response from the sensor and providing a corrected image (IP_COR), this network having been trained from an augmented database (BDAUG) comprising: real homogeneous pressing data measured by applying a homogeneous pressure (PR) to at least some of the pixels, better still to all of the pixels of the matrix, and additional partial pressing data produced through simulation by applying binary masks (MAS) to the real homogeneous pressing data, so as to simulate partial pressing without a crosstalk effect with the pixels situated outside partial pressing areas.
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