In this repository, code of the TCN architecture presented in the paper "The Importance of Multiple Temporal Scales in Motion Recognition:from Shallow to Deep Multi Scale Models" are reported.
The TCN architecture code is based on Python and Pytorch.
The TCN model we proposed is able to handle multiple temporal scales for 3 different time series but can easily be extended to handle more. The code can easily be modified to use fewer or more time series.