Modeling transformer architecture with attention layer for human activity recognition

Human activity recognition (HAR) is necessary in numerous fields, involving medicine, sports, and security. Traditional HAR methods often rely on complex feature extraction from raw input data, while convolutional neural networks (CNN) are primarily designed for 2D data. The proposed approach seeks...

Ausführliche Beschreibung