The Transformer model has received significant attention in Human Activity Recognition (HAR) due to its self-attention mechanism that captures long dependencies in time series. However. for Inertial Measurement Unit (IMU) sensor time-series signals. the Transformer model does not effectively utilize the a priori information of strong complex temporal correlations. https://www.alarecre.com/