This invention belongs to the field of
character recognition technology and provides a handwritten
letter recognition method based on piezoresistive
signal detection, including the following steps: collecting the temporal piezoresistive
signal during the letter writing process as
raw data; preprocessing the
raw data to obtain training data; constructing a recognition model, inputting the training data into the recognition model to extract temporal feature vectors, and performing classification training; using the trained recognition model for forward
inference to confirm the letter category; this invention accurately captures changes in writing force and
temporal logic based on piezoresistive electrical signals, significantly improving the accuracy of handwritten
letter recognition.