This guide explains how hysteresis in sensors creates offset and delayed responses that degrade accuracy and long-term stability, and shows you how to identify and mitigate its effects. This paper introduces a novel approach that employs a backpropagation (BP) neural network to address the hysteresis nonlinearity in conductive fiber-based tactile sensors. To assess the effectiveness of the proposed method, four sensor units were designed. Hysteresis can cause systematic measurement errors and, in safety-critical systems, dangerous false readings, yet. Hysteresis is a fundamental concept in the field of sensor technology, referring to the phenomenon where the output of a sensor depends not only on the current input but also on the previous inputs or the history of the input. In other words, the sensor's response to a given stimulus is influenced.
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