2022
Preliminary Results on the Generation of Artificial Handwriting Data Using a Decomposition-Recombination Strategy
José Fernando Adrán Otero, Oscar Soláns Caballer, Pere Martí-Puig, Zhe Sun, Toshihisa Tanaka, Jordi Solé-Casals
ICASSP 2022accepted
Deep learning techniques are able to extract the characteristics of temporal signals to study their patterns and diagnose diseases such as essential tremor. However, these techniques require a large amount of data to train the neural network and achieve good results, and the more data the network ha…